Book Changelog
This Machine Learning Systems textbook is constantly evolving. This changelog is intended to record all updates and improvements, helping you stay informed about whatβs new and refined.
Automated Changelog
These changelog entries are automatically generated from our development process and should be mostly accurate. They track code changes, content updates, and improvements across the entire book. While the entries are comprehensive, they may occasionally contain minor inaccuracies or overly technical details.
2025 Updates
π August 01 at 04:54 PM
π Frontmatter
βββββAbout: The repository was restructured for better organization and maintainability, a cross-reference to Bloomβs figure was added, quizzes were added for self-assessment, and a bug in the -repair followed by repair sequence was fixedβββββSocratiQ: The repository was restructured for better organization and maintainability, an AI-powered figure caption improvement script was added, and PDF part summaries were implementedβββββIndex: The index was restructured and updated with new section IDs and headers generated by a scriptβββββForeword: The repository has been restructured to improve organization and maintainabilityβββββChangelog: The repository has been restructured to enhance organization and maintainabilityβββββAcknowledgements: The repository was restructured for better organization and maintainability, a bug in the repair functionality was fixed, and the script used for section generation was updated
π Chapters
βββββChapter 1: Introduction: This update introduces auto-generated self-check quizzes throughout the introduction chapter and refactors the quiz generation process for improved efficiency. Section headers have also been updated for better navigationβββββChapter 2: ML Systems: Quizzes with answers were added to the ML Systems chapter, section IDs were updated for consistent linking, and βConclusionβ sections were renamed to βSummaryββββββChapter 3: DL Primer: New Tikz figures were added throughout the chapter, quizzes were integrated from JSON files, and βConclusionβ sections were renamed to βSummaryββββββChapter 4: DNN Architectures: New TikZ figures were added to chapters 3-6, figure captions were updated for clarity, and descriptions were enhanced to clarify key conceptsβββββChapter 5: AI Workflow: Quizzes were added to the chapter, quiz insertion logic was improved, and βConclusionβ sections were renamed to βSummaryββββββChapter 6: Data Engineering: New Tikz figures were added to the chapter, descriptions and key concepts were enhanced for clarity, and quizzes were integratedβββββChapter 8: AI Training: Added new TikZ figures to the chapter and integrated quizzes on efficient AI concepts. Renamed βConclusionβ sections to βSummaryββββββChapter 9: Efficient AI: Quizzes were added to the Efficient AI chapter, section IDs were updated for consistent linking, and quiz answers were corrected and formattedβββββChapter 10: Model Optimizations: Quizzes were added to the chapter and the quiz insertion logic was improved. Figure captions were updated for clarity and contextβββββChapter 11: AI Acceleration: Quizzes were added to the chapter, quiz insertion logic was improved, and section headers and IDs were updated for consistencyβββββChapter 13: ML Operations: The repository has been restructured for better organization and maintainability, quizzes have been added to the chapter, and the quiz insertion logic and answer extraction have been improvedβββββChapter 14: On-Device Learning: Quizzes were added to the chapter, quiz insertion logic was improved, and section headers and IDs were updated for consistencyβββββChapter 18: Robust AI: Improved quiz insertion logic, ensured quiz answers precede part blocks, and renamed βConclusionβ sections to βSummaryββββββChapter 15: Security & Privacy: Quizzes were integrated into the chapter, figure captions were revised for improved clarity, and section IDs along with quiz JSON files were updatedβββββChapter 16: Responsible AI: Quizzes were added to the chapter, quiz insertion logic was improved, and conclusion sections were renamed to summariesβββββChapter 17: Sustainable AI: Standardized source citations throughout the chapter, integrated quizzes into the content, and improved the script for inserting and extracting quiz answersβββββChapter 19: AI for Good: Quizzes were added to the chapter, quiz insertion logic was improved, and section IDs were updated for consistent linkingβββββChapter 20: Conclusion: The repository was restructured for better organization and maintainability, section IDs were updated, βConclusionβ sections were renamed to βSummaryβ, and section anchors were added for self-check answersβββββPhD Survival Guide: The repository was restructured for better organization and maintainability, quiz answers are now correctly inserted before part blocks, anchor links were updated, and resources were moved to the backmatterβββββDesign Principles: The repository has been restructured for better organization and maintainability, PDF part summaries have been implemented, and the bookβs part organization has been addedβββββFoundations: The repository has been restructured for better organization and maintainability, PDF part summaries have been implemented, and book part organization has been addedβββββChapter 7: AI Frameworks: Added new TikZ figures to Chapters 7 and 8, removed resource sections from all chapters, and renamed βConclusionβ sections to βSummaryββββββChapter 12: Benchmarking AI: Improved quiz insertion logic to ensure answers precede part blocks, updated figure and table captions for improved clarityβββββChapter: Generative Ai: The repository has been restructured to improve organization and maintainabilityβββββBest Practices: The repository was restructured for better organization and PDF part summaries were implementedβββββImpact Outlook: The repository was restructured for better organization and PDF part summaries were implemented
π§βπ» Labs
βββββLab: Nicla Vision: The lab repository has been restructured for better organization, figure captions have been corrected to adhere to style guidelines, a bug in the repair process was fixed, and the section generation script and section headers were updatedβββββLab: Arduino Setup: The repository was restructured for better organization and maintainability, βConclusionβ sections were renamed to βSummaryβ, a bug in the repair command sequence was fixed, and section IDs were updated for consistent linkingβββββLab: Arduino Image Classification: The labβs repository was restructured for better organization, βConclusionβ sections were renamed to βSummaryβ, a bug in the repair functionality was fixed, and section headers and IDs were updated for consistencyβββββLab: Arduino Object Detection: The repository was restructured for better organization, βConclusionβ sections were renamed to βSummaryβ, a bug in the repair functionality was fixed, the section generation script was updated, and section IDs were revised for consistencyβββββLab: Arduino Motion Classification: The repository was restructured for better organization, quiz answers are now inserted before part blocks as needed, and section IDs and headers were updatedβββββLab: Xiao Esp32S3: The repository has been restructured for better organization, figure captions have been corrected to adhere to style guide, a bug in the -repair followed by repair function was fixed, and the section generation script and content consideration were updatedβββββLab: Raspi: The repository has been restructured for better organization and maintainability, a bug in the -repair followed by repair sequence was fixed, and the section generation script and headers were updatedβββββLab: Pi Image Classification: The repository was restructured for better organization and maintainability, βConclusionβ sections were renamed to βSummaryβ, a bug in the repair process was fixed, the script for section generation was updated, and section IDs were updated for consistent linkingβββββLab: Pi Large Language Models: The repository was restructured for better organization, βConclusionβ sections were renamed to βSummaryβ, a bug in the repair functionality was fixed, and the section generation script and IDs were updatedβββββLab: Pi Vision Language Models: The repository has been restructured for better organization and maintainability, quiz answers are now correctly inserted before part blocks, and section IDs and headers have been updatedβββββLab: Labs: The repository has been restructured to improve organization and maintainabilityβββββLab: Arduino Keyword Spotting: The repository has been restructured for better organization and maintainability, βConclusionβ sections have been renamed to βSummaryβ, a bug in the -repair followed by repair function was fixed, and section IDs were updated for consistent linkingβββββLab: XIAO Setup: The repository has been restructured for better organization, βConclusionβ sections have been renamed to βSummaryβ, and a bug in the -repair followed by repair sequence was fixedβββββLab: XIAO Image Classification: The repository has been restructured for better organization and maintainability, βConclusionβ sections have been renamed to βSummaryβ, a bug in the -repair followed by repair function was fixed, and section IDs were updated for consistent linkingβββββLab: XIAO Object Detection: The repository was restructured for better organization and maintainability, βConclusionβ sections were renamed to βSummaryβ, and a bug in the -repair followed by repair sequence was fixedβββββLab: XIAO Keyword Spotting: The repository was restructured for better organization and maintainability, βConclusionβ sections were renamed to βSummaryβ, and a bug in the -repair followed by repair sequence was fixedβββββLab: XIAO Motion Classification: The repository has been restructured for better organization and maintainability, section headers have been updated, and quiz answers are now correctly placed before part blocksβββββLab: Grove Vision Ai V2: The labβs repository was restructured, figure captions were corrected to adhere to style guidelines, a bug in the repair function was fixed, and the section generation script and section IDs were updatedβββββLab: Setup And No Code Apps: The repository was restructured for better organization, βConclusionβ sections were renamed to βSummaryβ, and a bug in the -repair followed by repair sequence was fixedβββββLab: Arduino Image Classification: The repository has been restructured for better organization, βConclusionβ sections have been renamed to βSummaryβ, and a bug in the -repair followed by repair process has been fixedβββββLab: Arduino Object Detection: The repository has been restructured for improved organization and maintainabilityβββββLab: Raspberry Pi Setup: The repository was restructured for better organization, source citations were standardized, and section IDs and headers were updatedβββββLab: Pi Object Detection: The repository was restructured for better organization and maintainability, βConclusionβ sections were renamed to βSummaryβ, and the script used for section generation was updatedβββββLab: Shared: The repository was restructured for better organization and the shared labs heading was updatedβββββLab: Kws Feature Eng: The repository has been restructured for better organization and maintainability, βConclusionβ sections have been renamed to βSummaryβ, and a bug in the -repair followed by repair process has been fixedβββββLab: Dsp Spectral Features Block: The repository was restructured for better organization and maintainability, section IDs were updated for consistent linking, and a bug in the -repair followed by repair sequence was fixedβββββLab: Lab Setup: The repository has been restructured for better organization and maintainability, quiz answers are now inserted before part blocks when necessary, and βConclusionβ sections have been renamed to βSummaryββββββLab: Labs Overview: The repository was restructured for better organization and maintainability, section IDs were updated to reflect content changes, and section headers were updated using a script
π Appendix
βββββPhD Survival Guide: The PhD Survival Guide now includes updated content, revised section IDs, and moved resources to the backmatter
π Jun 10 at 02:36 PM
π Frontmatter
βββββSocratiQ: Page links for SocratiQ were updated and documentation for the SocratiQ AI learning companion was addedβββββSocratiQ: The SocratiQ AI feature has been removed and minor grammatical and content errors have been correctedβββββAbout: SocratiQ page links were updated
π Chapters
βββββChapter 4: DNN Architectures: Resource sections were added to the chapter content, text processing in QMD files was improved, and explanations of deep learning architectures were refinedβββββChapter 5: AI Workflow: This chapter now includes resource sections, benefits from improved QMD text processing, and features new figures to enhance understandingβββββChapter 6: Data Engineering: This update includes a new data pipeline overview diagram, replaces Mermaid diagrams with TikZ, and removes a broken web scraping Colab linkβββββChapter 9: Efficient AI: Resource sections were added to the chapter content, the compute-optimal scaling frontier was clarified, and the language in the scaling laws section was refinedβββββChapter 10: Model Optimizations: This update clarifies pruning strategies, incorporates resource sections into core content, and refines the documentation on model optimization techniquesβββββChapter 13: ML Operations: Resource sections were added to the chapter, MLOps content was updated for clarity and accuracy, and the operations diagram and text were revisedβββββChapter 14: On-Device Learning: Resource sections were added to the chapter content, the equations for adapter-based adaptation were clarified, and explanations and concepts were refined throughoutβββββChapter 18: Robust AI: Resource sections were added to the chapter content, text processing in QMD files was improved, and a figure environment for error masking was implementedβββββChapter 15: Security & Privacy: Added a threat mitigation flow diagram and an ML lifecycle threat diagram, and expanded the discussion on ML model threatsβββββChapter 16: Responsible AI: Expanded the Responsible AI chapter with new sections on governance structures, safety and robustness considerations, privacy architectures, fairness constraints, system explainability, deployment contexts, and detailed discussions on safety, privacy, and fairness. IMPACTβββββChapter 19: AI for Good: Resource sections were added to the chapter, text processing in QMD files was improved, and the AI for Good content was refined for clarityβββββChapter 1: Introduction: The introduction now includes additional footnotes and has been revised for improved grammar and clarityβββββChapter 2: ML Systems: Resource sections were added to the chapter content, the TinyML example callout was removed, and minor grammatical and content errors were correctedβββββChapter 3: DL Primer: Resource sections were added to the chapter content, minor grammatical and content errors were corrected, and the difference between training and inference was clarifiedβββββChapter 7: AI Frameworks: Resource sections were added to the chapter content, text processing in QMD files was improved, and figure references along with a parallelization typo were fixedβββββChapter 8: AI Training: Resource sections were added to the core content, text processing in QMD files was improved, and the explanation of activation checkpointing was clarifiedβββββChapter 11: AI Acceleration: Resource sections were added to the chapter, placement and allocation definitions were clarified, and code block language was corrected for clarityβββββChapter 12: Benchmarking AI: Resource sections were added to the chapter content, text processing in QMD files was improved, and a typo was correctedβββββChapter 17: Sustainable AI: Resource sections were added to the chapter content, minor grammatical and content errors were corrected, and text processing in QMD files was improved
π§βπ» Labs
βββββLab: Grove Vision Ai V2: A new lab has been added focusing on Grove Vision AI v2 and its documentation has been improvedβββββLab: Setup And No Code Apps: A new lab on Grove Vision AI v2 was added, and the existing documentation was improved with clarifications and typo correctionsβββββLab: Arduino Image Classification: A new lab demonstrating image classification using the Grove Vision AI V2 module has been added to the textbookβββββLab: Arduino Object Detection: A new lab demonstrating object detection with Grove Vision AI v2 and Arduino has been addedβββββLab: Lab Setup: The lab setup instructions were updated with clearer installation steps and links to required softwareβββββLab: Labs Overview: Lab file templates were updated and instructions for using Jupyter notebooks were addedβββββLab: XIAO Image Classification: A typo was corrected in the image classification lab
π May 14 at 07:26 PM
π Chapters
βββββChapter 14: On-Device Learning: The on-device learning content has been refactored and clarified for improved understanding
π May 14 at 04:04 PM
π Chapters
βββββChapter 14: On-Device Learning: The on-device learning content has been refactored and clarified for better understanding
π May 04 at 08:18 PM
π Chapters
βββββChapter 5: AI Workflow: The chapter now includes clarified data preprocessing steps, a new section on model evaluation metrics, and updated examples for real-world applicationsβββββChapter 6: Data Engineering: Updated explanations of data pipelines, added examples of real-world data engineering tools, and improved clarity on data wrangling techniquesβββββChapter 10: Model Optimizations: Updated explanations of gradient descent variants, added examples of momentum optimization techniques, and improved clarity on adaptive learning rate methodsβββββChapter 11: AI Acceleration: The discussion on hardware acceleration has been refined, with enhancements to the explanation of hardware specialization and clarification regarding AI compute primitivesβββββChapter 12: Benchmarking AI: The chapter now uses βMotivationβ instead of βPurposeβ, provides clearer explanations of benchmarking metrics and power measurements, and includes a script to identify missing referencesβββββChapter 13: ML Operations: The chapter now features consolidated TikZ figure styling, expanded MLOps core concepts and case studies, and corrected acronym inconsistenciesβββββChapter 14: On-Device Learning: Added a Federated Learning section, explored on-device learning strategies for limited data, and expanded the discussion on security considerations in on-device learningβββββChapter 1: Introduction: The introduction chapter has been updated with improved content and clarityβββββChapter 2: ML Systems: The chapter now has improved footnote formatting, a removed redundant definition, corrected grammar in the GDPR/HIPAA footnote, and a script was run to identify any missing referencesβββββChapter 3: DL Primer: The dimension order for W^L was swapped and a script was added to identify any missing referencesβββββChapter 4: DNN Architectures: The chapter was updated to ensure all references are present and correctβββββChapter 7: AI Frameworks: Content from Chapter 6 was integrated and various fixes were implementedβββββChapter 8: AI Training: Minor issues were fixed and label checking was improvedβββββChapter 18: Robust AI: Minor issues were fixed, label checking was improved, and a script was added to locate missing referencesβββββChapter 15: Security & Privacy: Minor issues were fixed and label checking was improvedβββββChapter 17: Sustainable AI: TikZ figure styling was consolidated and a script was created to locate missing referencesβββββChapter 19: AI for Good: The PlantVillage Nuru footnote accuracy was updated and a script was used to find any missing referencesβββββChapter 9: Efficient AI: Bravo fixed several errors in the text of Chapter 9
π§βπ» Labs
βββββLab: Arduino Keyword Spotting: Fixed keyword recognition accuracy, optimized the code for efficiency, and added a troubleshooting section for common issuesβββββLab: Raspi: Updated Raspberry Pi setup instructions, added a TensorFlow Lite on Raspi section, and improved image classification code examplesβββββLab: Pi Object Detection: The lab now includes updated code and instructions for utilizing a Raspberry Pi camera module for object detectionβββββLab: Arduino Setup: The Nicla setup instructions were updated for clarity and accuracyβββββLab: Arduino Image Classification: The labβs formatting, wording, instructions, documentation, text content, and images have been revised for clarity and accuracyβββββLab: Arduino Object Detection: Formatting was updated and object detection instructions were clarifiedβββββLab: Arduino Motion Classification: The code has been fixed to compile correctly and updated to utilize a more efficient motion detection algorithmβββββLab: Xiao Esp32S3: Updated lab instructions and added code examples for sensor integration on the Xiao ESP32S3 boardβββββLab: XIAO Setup: The LABS part 2_seeed_xiao_esp32s3 has been updatedβββββLab: XIAO Image Classification: Fixes were made to the LABS part 2_seeed_xiao_esp32s3βββββLab: XIAO Object Detection: The XIAO Object Detection lab has been updated with changes to LABS part 2_seeed_xiao_esp32s3βββββLab: XIAO Keyword Spotting: The XIAO Keyword Spotting lab now includes updated code and explanations of ESP32S3 features utilizedβββββLab: XIAO Motion Classification: The XIAO ESP32S3 motion classification lab code was updated with added explanations and commentsβββββLab: Raspberry Pi Setup: The Raspberry Pi setup instructions have been updated to reflect the latest software versions and provide clearer guidanceβββββLab: Pi Image Classification: The Raspberry Pi image classification lab now features updated code and clearer instructions for executionβββββLab: Pi Large Language Models: The Raspberry Pi instructions were updated and additional links to relevant resources were includedβββββLab: Pi Vision Language Models: The VLM lab guide has been refactored for improved clarity and the LABS part_raspi has been updatedβββββLab: Kws Feature Eng: The shared labs section has been updatedβββββLab: Dsp Spectral Features Block: The LABS part_shared has been updated
π Mar 26 at 03:56 AM
π Chapters
βββββChapter 13: ML Operations: An exercise reference was removed and another was fixedβββββChapter 18: Robust AI: Corrected formatting issues by fixing missing package and line commands and adding helvetica font
π Mar 25 at 11:51 PM
π Frontmatter
βββββForeword: The foreword has been updated based on feedback from vale testingβββββAbout: The text has been updated based on feedback from vale testingβββββAcknowledgements: The contributors list has been updatedβββββSocratiQ: Trailing whitespace was removed and all broken links were fixed
π Chapters
βββββChapter 9: Efficient AI: A new Scaling Laws section was added to the chapter, section headers were updated, and epoch AI figures were insertedβββββChapter 13: ML Operations: The MLOps key components section was updated, the focus shifted from embedded Ops to Operational design principles, references were added, and case studies were updatedβββββChapter 18: Robust AI: This chapter now includes a new introduction paragraph, updated information on poisoning attacks and permanent faults within the attacks section, and improvements to the real-world applications sectionβββββChapter 17: Sustainable AI: This update includes a plot and discussion about Jevonβs paradox, along with fixes for broken linksβββββChapter 1: Introduction: The introduction chapter now has consistent footnote naming, removed unnecessary code and packages, and had its Markdown styling cleaned upβββββChapter 2: ML Systems: Fixed hyphenation issues, corrected a typo that caused PDF build errors, standardized Markdown styles, incorporated footnotes and ensured consistent footnote naming conventions, and addressed missing referencesβββββChapter 3: DL Primer: Markdown styles were cleaned up, a new definition was added, footnotes were updated for consistency, and footnote naming conventions were standardizedβββββChapter 4: DNN Architectures: Hyphenation is now handled globally via headerfile, Markdown styles were cleaned up, and all broken links have been fixedβββββChapter 5: AI Workflow: A definition was added and references were updatedβββββChapter 6: Data Engineering: The chapter now uses consistent hyphenation, improved Markdown formatting, updated section headers, and includes Mermaid diagramsβββββChapter 7: AI Frameworks: A figure illustrating ONNX was added and footnote naming conventions were standardized for consistency. Callout formatting was also correctedβββββChapter 8: AI Training: Updated footnote naming to be consistent and fixed missing figure references while cleaning up Markdown stylesβββββChapter 10: Model Optimizations: This update includes various fixes for spelling, Markdown formatting, footnotes, PDF generation, and TikZ codeβββββChapter 11: AI Acceleration: The chapter received spelling corrections, consistent Markdown styling for formatting elements like colons and tables, and updated references for footnotes and figuresβββββChapter 12: Benchmarking AI: This chapter now has corrected links, updated section headers, and a resolved missing figure referenceβββββChapter 14: On-Device Learning: The chapterβs Markdown styling was cleaned up and all broken links were fixedβββββChapter 15: Security & Privacy: The chapter now has consistent Markdown styling and all broken links have been fixedβββββChapter 16: Responsible AI: The chapterβs markdown formatting was cleaned up and all broken links were fixedβββββChapter 19: AI for Good: The chapter now has consistent footnote naming, fixed broken links, and improved Markdown stylingβββββChapter 20: Conclusion: Dangling sections were removed and the chapter underwent a first pass of revisionsβββββChapter: Old Sus Ai: The chapter content has been updated and improvedβββββChapter: Generative Ai: The Generative AI chapter received its initial draft content
π§βπ» Labs
βββββLab: Arduino Setup: Markdown styles were cleaned up and all broken links in the Arduino setup instructions were fixedβββββLab: Arduino Motion Classification: The labβs Markdown formatting was cleaned up and all broken links were fixedβββββLab: Pi Vision Language Models: The labβs Markdown formatting has been cleaned up and all broken links have been fixedβββββLab: Arduino Image Classification: Markdown styles were cleaned up in the image classification labβββββLab: Arduino Keyword Spotting: The Markdown styles in the file were cleaned upβββββLab: XIAO Image Classification: Spelling mistakes have been fixed in the XIAO Image Classification labβββββLab: XIAO Keyword Spotting: Spelling errors were corrected and markdown styles were cleaned upβββββLab: XIAO Motion Classification: Markdown styles were updated for consistency throughout the labβββββLab: Raspberry Pi Setup: Spelling mistakes have been fixed throughout the lab setup instructionsβββββLab: Pi Object Detection: All broken links were fixed and Markdown styles were cleaned upβββββLab: Pi Large Language Models: Markdown styles were cleaned up in the lab filesβββββLab: Kws Feature Eng: Markdown styles were cleaned up throughout the labβββββLab: Dsp Spectral Features Block: Spelling errors were corrected and colon formatting was updated for consistency
π Appendix
βββββPhD Survival Guide: The PhD Survival Guide now has corrected spelling and all broken links have been repaired
π Mar 03 at 04:45 PM
π Frontmatter
βββββSocratiQ: Callout titles are now formatted correctly and linting issues with QMD files have been resolvedβββββAbout: Header spacing was adjusted for consistencyβββββAcknowledgements: The contributors list has been updated and reflected in the readme and acknowledgements file
π Chapters
βββββChapter 10: Model Optimizations: This chapter now includes sections on structured optimization, post-training quantization (PTQ) and quantization aware training (QAT), sparsity visualization techniques, knowledge distillation (KD) figures, and learning transfer hardening (LTH) along with iterative pruning and calibrationβββββChapter 11: AI Acceleration: This update includes a new discussion on hybrid mapping strategies and a visualization comparing models to memory bandwidth. The chapter overview and definition have also been updatedβββββChapter 1: Introduction: Fixed callout title formatting and resolved issues with QMD file lintingβββββChapter 2: ML Systems: Markdown and linting issues in the chapter were addressedβββββChapter 3: DL Primer: Callout titles were formatted for consistency and the chapter content was updated with linting fixesβββββChapter 4: DNN Architectures: Callout title formatting and QMD file linting were correctedβββββChapter 5: AI Workflow: Redundant definitions were removed, text errors were corrected, and QMD file linting was improvedβββββChapter 7: AI Frameworks: Images illustrating data and model parallelism were added, redundant definitions were removed, and log file handling was updatedβββββChapter 8: AI Training: The chapter now includes descriptions of single and multi GPU systems, removed redundant definitions like β(GPUs)β, and fixed markdown formatting issuesβββββChapter 9: Efficient AI: Redundant definitions were removed from the chapter, and spacing and linting issues were fixedβββββChapter 12: Benchmarking AI: The chapter now uses TikZ code for images, includes a new image illustrating datacentric AI, and features corrected references and citationsβββββChapter 13: ML Operations: Definitions were removed to avoid redundancy, callout titles are now formatted correctly, and QMD file linting was correctedβββββChapter 18: Robust AI: Definitions were removed to avoid redundancy and formatting issues in the Markdown content were fixedβββββChapter 15: Security & Privacy: Definitions were removed to avoid redundancy and formatting issues in Markdown were fixed for improved readabilityβββββChapter 17: Sustainable AI: Redundant definitions were removed, callout titles were formatted correctly, and QMD file linting was fixedβββββChapter 19: AI for Good: Redundant definitions were removed, callout title formatting was fixed, and QMD file linting issues were resolvedβββββChapter 6: Data Engineering: Formatting and linting improvements were made to the Data Engineering chapterβββββChapter 14: On-Device Learning: Typos were corrected, redundant definitions like those for GPUs were removed, and callout titles were formatted correctlyβββββChapter 16: Responsible AI: Callout title formatting and QMD file linting were corrected
π§βπ» Labs
βββββLab: Arduino Keyword Spotting: The Arduino keyword spotting lab now includes updated code examples, clearer explanations of key concepts, and improved lab instructionsβββββLab: Nicla Vision: The Arduino/Nicla Vision LABS section has been updatedβββββLab: Arduino Setup: The Arduino setup section for the nicla_vision LABS has been updatedβββββLab: Arduino Image Classification: The Arduino image classification lab has been updated with changes to the labs sectionβββββLab: Arduino Object Detection: The Arduino Object Detection LABS section has been updatedβββββLab: Arduino Motion Classification: The Arduino/Nicla Vision LABS section was updated and header spacing was improved for better readabilityβββββLab: Pi Vision Language Models: The lab now has corrected markdown formatting, improved linting for QMD files, and consistent header spacingβββββLab: Kws Feature Eng: The lab notebook now has corrected Markdown formatting and resolved linting errorsβββββLab: Labs Overview: Linting errors in QMD files have been corrected
π Feb 08 at 12:29 AM
π Frontmatter
βββββAcknowledgements: The contributor list has been updated to include all contributors and correct any omissionsβββββSocratiQ: Included a link to the Socratiq research paper
π Feb 07 at 11:50 PM
π Frontmatter
βββββAbout: The precheck script now only runs on qmd and bib filesβββββChangelog: The changelog is now automatically generated and updated within the frontmatterβββββSocratiQ: The SocratiQ precheck script now only runs on qmd and bib filesβββββIndex: The precheck now only runs on .qmd and .bib filesβββββAcknowledgements: The acknowledgements section now includes a list of contributors to the textbook
π Chapters
βββββChapter 12: Benchmarking AI: This update incorporates MLPerf power trend data, integrates a FastML science graph, and enhances the benchmarking challenges section with new visualizationsβββββChapter 1: Introduction: The code now directly uses _quarto.yml and the precheck script only runs on qmd and bib filesβββββChapter 2: ML Systems: The ML Systems chapter content was updated and the precheck script now only runs on .qmd and .bib filesβββββChapter 3: DL Primer: The precheck script has been updated to run only on .qmd and .bib filesβββββChapter 4: DNN Architectures: The precheck script now only runs on qmd and bib filesβββββChapter 5: AI Workflow: The precheck functionality is now limited to running on .qmd and .bib filesβββββChapter 6: Data Engineering: The precheck script now only runs on qmd and bib filesβββββChapter 7: AI Frameworks: The code now directly utilizes _quarto.yml and the precheck script is limited to running on qmd and bib filesβββββChapter 8: AI Training: Fixed figure formatting, updated a diagram, and removed an unused library from the codeβββββChapter 9: Efficient AI: The code now uses only _quarto.yml, a bib reference was corrected, and R code was added for debugging and visualization purposesβββββChapter 10: Model Optimizations: The precheck function now only runs on qmd and bib filesβββββChapter 11: AI Acceleration: The precheck script now only runs on qmd and bib filesβββββChapter 13: ML Operations: The precheck script now only runs on qmd and bib filesβββββChapter 14: On-Device Learning: The precheck script now only runs on qmd and bib filesβββββChapter 18: Robust AI: The precheck script now only runs on qmd and bib filesβββββChapter 15: Security & Privacy: The precheck script is updated to run only on qmd and bib filesβββββChapter 16: Responsible AI: The precheck script is updated to run only on .qmd and .bib filesβββββChapter 17: Sustainable AI: The precheck now only runs on .qmd and .bib filesβββββChapter 19: AI for Good: The code now directly uses _quarto.yml instead of an in-use library, PNG images are cached locally instead of being fetched from a broken remote URL, and the precheck function now only runs on qmd and bib filesβββββChapter 20: Conclusion: The precheck now only runs on .qmd and .bib files
π§βπ» Labs
βββββLab: Arduino Setup: The precheck script now only runs on .qmd and .bib filesβββββLab: Arduino Image Classification: The precheck script now only runs on .qmd and .bib filesβββββLab: Arduino Keyword Spotting: The precheck script now only runs on qmd and bib filesβββββLab: Arduino Motion Classification: The precheck now only runs on .qmd and .bib filesβββββLab: XIAO Setup: The precheck script now only runs on qmd and bib filesβββββLab: XIAO Image Classification: The precheck script now only runs on .qmd and .bib filesβββββLab: XIAO Object Detection: The precheck script now only runs on qmd and bib filesβββββLab: XIAO Keyword Spotting: The precheck script now only runs on .qmd and .bib filesβββββLab: XIAO Motion Classification: The precheck script now only runs on .qmd and .bib filesβββββLab: Raspi: The precheck script now only runs on qmd and bib filesβββββLab: Raspberry Pi Setup: The precheck script now only runs on qmd and bib filesβββββLab: Pi Image Classification: The precheck script now only runs on qmd and bib filesβββββLab: Pi Object Detection: The precheck script now only runs on qmd and bib filesβββββLab: Pi Large Language Models: The precheck script now only runs on qmd and bib filesβββββLab: Pi Vision Language Models: The precheck script now only runs on qmd and bib filesβββββLab: Shared: The precheck script now only runs on qmd and bib filesβββββLab: Kws Feature Eng: The precheck script now only runs on qmd and bib filesβββββLab: Dsp Spectral Features Block: The precheck script now only runs on qmd and bib filesβββββLab: Lab Setup: The precheck script now only runs on qmd and bib filesβββββLab: Labs Overview: The precheck script now only runs on qmd and bib files
π Appendix
βββββPhD Survival Guide: The precheck script now only runs on qmd and bib files
π Feb 02 at 11:14 PM
π Frontmatter
βββββAcknowledgements: The acknowledgements section now includes a list of contributors to the textbook
π Chapters
βββββChapter 12: Benchmarking AI: The chapter now has improved learning objectives, a corrected table and references, an updated case study, and reorganized contentβββββChapter 1: Introduction: All ###* callout titles have been updated to use a title block formatβββββChapter 2: ML Systems: All ###* callout titles have been updated to use a title block formatβββββChapter 3: DL Primer: All callout ###* titles have been updated to use a title block formatβββββChapter 5: AI Workflow: All callout ###* titles have been updated to a title block formatβββββChapter 6: Data Engineering: All callout ###* titles have been updated to a title block formatβββββChapter 7: AI Frameworks: The way the TikZ package is used in the chapter has been restructured by moving its declaration outside of begin{..} and into a header fileβββββChapter 8: AI Training: Figure 8.8 was updated and several new diagrams were added to the chapter along with corrections to Python codeβββββChapter 9: Efficient AI: Callout titles were updated to a title block format, the bibliography was updated, and an incorrect entry was removedβββββChapter 11: AI Acceleration: All ###* callout titles have been updated to use a title block formatβββββChapter 13: ML Operations: All ###* callout titles have been updated to a title block formatβββββChapter 14: On-Device Learning: All ###* callout titles have been updated to use a title block formatβββββChapter 18: Robust AI: All ###* callout titles have been updated to a title block formatβββββChapter 15: Security & Privacy: All ###* callout titles have been updated to use a title block formatβββββChapter 16: Responsible AI: All ###* callout titles have been updated to use a title block formatβββββChapter 17: Sustainable AI: All ###* callout titles have been updated to use a title block formatβββββChapter 19: AI for Good: All ###* callout titles have been updated to use a title block formatβββββChapter 4: DNN Architectures: Errata were fixed and all callout ###* titles were updated to a title block formatβββββChapter 10: Model Optimizations: All callout ###* titles have been updated to a title block format
π Jan 28 at 11:09 AM
π Frontmatter
βββββAcknowledgements: The acknowledgements section now includes a list of contributors
π Jan 28 at 07:14 AM
π Frontmatter
βββββAcknowledgements: The acknowledgements section now includes logos and an updated list of contributors
π Chapters
βββββChapter 5: AI Workflow: A new section on data preprocessing techniques was added, example code for feature scaling was updated, and the explanation of hyperparameter tuning was clarifiedβββββChapter 6: Data Engineering: The data section now includes more citations, and edits were made to the later data engineering sections. Keyword selection is also being worked onβββββChapter 8: AI Training: Figures were added illustrating chips, references in the chapter were updated to align with the hardware section, and the training chapter was significantly improved with numerous updatesβββββChapter 19: AI for Good: The chapter includes new videos, images, updated learning objectives, and added spotlight use casesβββββChapter 2: ML Systems: Radar plots were added to Chapter 2βββββChapter 7: AI Frameworks: Added figures illustrating different types of chips and included small bibliographic referencesβββββChapter 9: Efficient AI: Learning objectives were added, references were updated, and figures were incorporated into the chapterβββββChapter 11: AI Acceleration: References were removed from the chapterβββββChapter 1: Introduction: A redundant case study was removedβββββChapter 4: DNN Architectures: The chapterβs wording has been refined and corrected based on recommendationsβββββChapter 10: Model Optimizations: Dead references were removed from the chapter
π§βπ» Labs
βββββLab: Pi Image Classification: The lab now includes updated code for image classification, expanded explanations of the model training process, and clearer instructionsβββββLab: Pi Object Detection: The object detection lab now features updated code, clearer explanations for model training, and improved instructions
π Appendix
βββββPhD Survival Guide: Several resources were added and one existing link was updated
π Jan 17 at 07:05 AM
π Frontmatter
βββββAbout: The book now includes updated information on recent machine learning advancements, a new section on ethical considerations in AI, and improved clarity throughout the textβββββSocratiQ: Updated SocratiQ platform details, added use case examples, and clarified key feature explanationsβββββAcknowledgements: The acknowledgements section now includes a list of contributors
π Chapters
βββββChapter 3: DL Primer: The chapter now provides clearer distinctions between supervised and unsupervised learning, includes examples of popular DL architectures, and offers updated explanations of activation functionsβββββChapter 7: AI Frameworks: This chapter now includes an overview of AI frameworks, updated learning objectives, and a section on the history of these frameworksβββββChapter 1: Introduction: Incorporated Bravoβs feedback into the introductionβββββChapter 4: DNN Architectures: Clarified the parameter storage bound for Recurrent Neural Networks and removed an unused footnoteβββββChapter 2: ML Systems: PDF rendering issues were fixedβββββChapter 6: Data Engineering: Incorporated feedback provided by BravoβββββChapter 12: Benchmarking AI: Fixed a reference issue in the chapter
π§βπ» Labs
βββββLab: Pi Vision Language Models: Updated code snippets, added explanations for model training steps, and improved the clarity of VLM conceptsβββββLab: Pi Large Language Models: Copyediting errors were corrected
π Jan 12 at 03:40 PM
π Frontmatter
βββββAcknowledgements: The contributor list has been updated and PDF rendering has been improved
π Chapters
βββββChapter 1: Introduction: Fixed a rendering issue with triple quotes in the PDF version and made minor adjustments to section headersβββββChapter 2: ML Systems: A definition for hybrid ML was added and PDF rendering was improvedβββββChapter 5: AI Workflow: Zishen implemented fixes for improved PDF renderingβββββChapter 6: Data Engineering: Updated figure sizes and the data labeling section with fixes from Zishen and other contributors
π Jan 11 at 04:51 PM
π Frontmatter
βββββAcknowledgements: The contributor list has been updated to include all contributors and correct any omissions
π Chapters
βββββChapter 2: ML Systems: A decision playbook framework was added and definitions were updated and provided for each sectionβββββChapter 5: AI Workflow: A grammar fix request was removedβββββChapter 6: Data Engineering: Corrected errors present in Bravoβs contributions to the chapter
π Jan 11 at 02:09 AM
π Frontmatter
βββββAcknowledgements: The contributor list has been updated to include all contributors and correct any omissionsβββββAbout: The About section has been revised for improved clarity and concisenessβββββSocratiQ: The SocratiQ content was edited
π Chapters
βββββChapter 1: Introduction: Footnotes have been added throughout the introduction section for additional context and referencesβββββChapter 6: Data Engineering: The chapter includes added references, updated information on synthetic data and crowdsourcing, revised web scraping content, a refined problem definition, and minor updates to the overview
π Jan 09 at 11:49 AM
π Frontmatter
βββββAcknowledgements: The contributor list has been updated to include all contributors
π Chapters
βββββChapter 5: AI Workflow: Corrected errors and improved the clarity of Bravoβs feedback within the chapterβββββChapter 8: AI Training: Bravoβs training example feedback has been improvedβββββChapter 11: AI Acceleration: The AI Acceleration chapter has been updated to reflect feedback from BravoβββββChapter 16: Responsible AI: Incorporated feedback from Bravo and improved explanations within the chapterβββββChapter 1: Introduction: The introduction has been revised to reflect feedback received from MarcoβββββChapter 6: Data Engineering: Grammar pass fix requests were removedβββββChapter 7: AI Frameworks: Grammar pass fix requests were removed from the chapter
π Jan 07 at 10:19 AM
π Frontmatter
βββββAcknowledgements: The acknowledgements section and readme were updated to include a list of contributorsβββββForeword: The wording in the foreword has been refined
π Chapters
βββββChapter 3: DL Primer: The chapter now includes an updated figure caption, additional images and code to clarify the training loop and inference process, and a corrected typo in an equationβββββChapter 4: DNN Architectures: The text was updated with new images and visualization figures and tools were addedβββββChapter 1: Introduction: The distinction between artificial intelligence (AI) and machine learning (ML) is now more clearly defined
π Jan 03 at 04:26 PM
π Frontmatter
βββββAcknowledgements: The contributor list has been updated to include all contributors and correct any omissionsβββββSocratiQ: Fixed SocratiQ prompt generation issues and improved the user interface for interacting with SocratiQ
π Chapters
βββββChapter 1: Introduction: The definition of machine learning was clarified and examples were updated for improved comprehensionβββββChapter 2: ML Systems: Corrected a typo in the definition of model parallelism and added a TensorFlow example demonstrating data parallelismβββββChapter 6: Data Engineering: Corrected a code snippet in the data ingestion pipeline example and refined the explanation of the ETL processβββββChapter 4: DNN Architectures: Various fixes were implementedβββββChapter 20: Conclusion: Various fixes were implemented
π Jan 02 at 09:06 PM
π Frontmatter
βββββAcknowledgements: The contributor list has been updated to include new contributors
π Chapters
βββββChapter 4: DNN Architectures: Removed unnecessary commented text and implemented suggested revisions for clarityβββββChapter 20: Conclusion: Bravoβs suggested edits have been incorporated into the conclusionβββββChapter: Generative Ai: Dead commented-out text has been removed from the chapter
π Jan 01 at 11:42 PM
π Frontmatter
βββββForeword: The foreword now has a smoother flow, corrected sidebar formatting issues, and includes updated text contentβββββAbout: The chapter order has been updated and incorporated feedback from BravoβββββSocratiQ: The chapterβs web formatting was fixed and its content was reorganizedβββββIndex: The abstract was updatedβββββAcknowledgements: The acknowledgements section now includes contributors and the readme has been updated to reflect this
π Chapters
βββββChapter 2: ML Systems: The Mobile ML section was added, system aspects were updated throughout the chapter, and an example system was included to ground conceptsβββββChapter 4: DNN Architectures: The textbook now includes a new section on transformer architectures, an updated overview of the chapter, and fixes to table formatting and referencesβββββChapter 18: Robust AI: The BNN discussion is clearer, the introduction to faults has been reframed, and edge case examples now focus specifically on ML faultsβββββAbout: The bookβs content was reorganized, Bloomβs Taxonomy was incorporated, and the outline was updated to reflect the addition of Chapter 4βββββChapter: Dl Architectures: The chapter was renamed and rewritten to emphasize ML systems, including the addition of Colab notebooks for interactive learningβββββChapter 1: Introduction: The file path was fixed, header formats were changed, and Bravoβs feedback was incorporatedβββββChapter 3: DL Primer: The chapterβs file structure was reorganized, its purpose statement was updated, and issues with Giscus comments were resolvedβββββChapter 5: AI Workflow: A figure illustrating feedback loops was added, a figure reference error was corrected, and the chapterβs purpose was revisedβββββChapter 8: AI Training: The purpose of AI training and its objectives were clarified for better understandingβββββChapter 9: Efficient AI: The purpose of efficient AI techniques was clarifiedβββββChapter 14: On-Device Learning: The purpose of on-device learning was clarifiedβββββChapter 15: Security & Privacy: A duplicate case study was removed from the chapter, a duplicate section was moved to Chapter 14, and the purpose statement was updatedβββββChapter 17: Sustainable AI: The chapterβs purpose was updated and incorporated feedback from BravoβββββAcknowledgements: The acknowledgements section now includes logos and an updated list of contributorsβββββSocratiQ: The SocratiQ chapter was reorganized, broken links were repaired, typos were corrected, and an issue brought up by Bravo was resolvedβββββChapter 6: Data Engineering: The purpose of the chapter was updatedβββββChapter 7: AI Frameworks: The purpose of the chapter has been updatedβββββChapter 10: Model Optimizations: The purpose statement for Chapter 10 has been revisedβββββChapter 11: AI Acceleration: The purpose of Chapter 11 has been updatedβββββChapter 12: Benchmarking AI: The purpose statement for benchmarking in AI has been updatedβββββChapter 13: ML Operations: The purpose statement for Chapter 13 has been updatedβββββChapter 16: Responsible AI: The purpose statement for Chapter 16 has been updatedββββChapter 19: AI for Good: The purpose of the chapter has been updatedβββββChapter 20: Conclusion: Some wording was adjusted and a reference to Chapter 4 was added
π§βπ» Labs
βββββLab: Raspi: The lab now includes a new VLM lab and the grid table formatting has been updatedβββββLab: Pi Vision Language Models: A new lab exploring Vision Language Models (VLMs) has been addedβββββLab: Labs Overview: A VLM has been added to the main table
π Nov 19 at 12:23 PM
π Chapters
βββββSocratiQ: The text was updated and an AI podcast was addedβββββAcknowledgements: The contributor list has been updated to include new contributors
π Nov 19 at 01:57 AM
π Chapters
βββββChapter 15: Security & Privacy: This chapter now includes machine unlearning, a revised table order, and a new federated learning case study replacing the previous oneβββββChapter 16: Responsible AI: The chapter now includes summarized policies, a revised figure with a clearer explanation, and formatting adjustments for improved readabilityβββββChapter 17: Sustainable AI: The chapterβs grammar was refined, a new image illustrating the water footprint was added, and the LCA figure was updatedβββββChapter 19: AI for Good: The chapter now includes grammatical improvements and a discussion motivating the use of TinyMLβββββAcknowledgements: The acknowledgements section and readme were updated to include a list of contributorsβββββSocratiQ: Added .png support for gif images in PDF builds, updated the widget suggestions blog, and changed the variable name widget_access to socratiq
π Nov 16 at 06:09 PM
π Chapters
βββββChapter 16: Responsible AI: The explanation of a table has been clarifiedβββββAcknowledgements: The contributor list has been updated and the preface material reorganizedβββββAbout: The βAboutβ file now has a corrected relative path and reorganized contentβββββChapter 1: Introduction: A broken reference link was fixed
π Nov 15 at 09:09 PM
π Chapters
βββββChapter 13: ML Operations: The chapter now features reorganized content with grouped topics, removed redundancies, connected roles sections for clarity, a restructured data management section, and an updated introduction styled as an overviewβββββChapter 2: ML Systems: The Introduction section has been replaced with an OverviewβββββChapter 5: AI Workflow: The roles sections throughout the AI workflow chapter have been connected for better flow and understandingβββββChapter 14: On-Device Learning: The introduction section was replaced with an overview and the language was simplified for improved clarityβββββChapter 16: Responsible AI: The chapter now features improved definitions and an Overview section replacing the IntroductionβββββChapter 19: AI for Good: The Introduction section has been replaced with an OverviewβββββChapter 1: Introduction: Fixed definition formatting to be normal font and addressed style consistency errorsβββββChapter 6: Data Engineering: The Introduction section was replaced with an Overview sectionβββββChapter 7: AI Frameworks: The Introduction section has been replaced with an Overview sectionβββββChapter 8: AI Training: The Introduction section has been replaced with an Overview sectionβββββChapter 9: Efficient AI: The Introduction section was replaced with an Overview sectionβββββChapter 10: Model Optimizations: The Introduction section was replaced with an Overview sectionβββββChapter 11: AI Acceleration: The Introduction section has been replaced with an OverviewβββββChapter 12: Benchmarking AI: The chapter now features an Overview instead of an IntroductionβββββChapter 18: Robust AI: The Introduction section has been replaced with an Overview sectionβββββChapter 15: Security & Privacy: The Introduction section has been replaced with an OverviewβββββChapter 20: Conclusion: The Introduction section has been replaced with an Overview sectionβββChapter 3: DL Primer: The Introduction section has been replaced with an OverviewβββChapter 17: Sustainable AI: The Introduction section was replaced with an Overview
π§βπ» Labs
βββββLab: Raspberry Pi Setup: The introduction has been replaced with an overview and the language has been simplified for improved clarityβββββLab: Pi Large Language Models: The Introduction section has been replaced with an OverviewβββββLab: Arduino Setup: The Introduction section was replaced with an Overview sectionβββββLab: Arduino Image Classification: The Introduction section has been replaced with an Overview sectionβββββLab: Arduino Object Detection: The Introduction section was replaced with an Overview sectionβββββLab: Arduino Keyword Spotting: The Introduction section has been replaced with an Overview sectionβββββLab: Arduino Motion Classification: The introduction section has been replaced with an overviewβββββLab: XIAO Setup: The Introduction section has been replaced with an OverviewβββββLab: XIAO Image Classification: The Introduction section has been replaced with an Overview sectionβββββLab: XIAO Object Detection: The Introduction section was replaced with an Overview sectionβββββLab: XIAO Keyword Spotting: The Introduction section has been replaced with an Overview sectionβββββLab: XIAO Motion Classification: The Introduction section has been replaced with an Overview sectionβββββLab: Pi Image Classification: The Introduction section has been replaced with an OverviewβββββLab: Pi Object Detection: The Introduction section has been replaced with an OverviewβββββLab: Kws Feature Eng: The Introduction section has been replaced with an Overview sectionβββββLab: Dsp Spectral Features Block: The Introduction section has been replaced with an Overview
π Nov 15 at 11:10 AM
π Chapters
βββββChapter 1: Introduction: The definition of machine learning was updated, case studies were added with multimedia links, and the text flow and wording were improved for better clarityβββββChapter 12: Benchmarking AI: The chapter content has been streamlined by removing labs and reworking examples. A new section exploring energy in AIβs historical context was added, along with the relocation of measurement informationβββββChapter 14: On-Device Learning: The chapter content was reorganized to improve clarity, with a focus on explaining pruning and IID concepts within the context of on-device learning, restructuring the lifelong learning section, and differentiating on-device learning from federated learningβββββChapter 15: Security & Privacy: Added labs to the chapter, updated security content, and renamed images to enhance privacy and securityβββββChapter 14: On-Device Learning: The on-device learning chapter now includes new labs and core folders, along with updated contentβββββChapter 3: DL Primer: The DL Primer chapter was updated with new content and labs and core folders were createdβββββChapter 2: ML Systems: The chapter now includes labs and a core folder, features updated ML systems content, revised learning objectives, and an introduction that encompasses a broader scope than just embedded systemsβββββChapter 2: ML Systems: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 3: DL Primer: The labs portion has been removed from the chapters and moved into a new βlabsβ folder, while the core content is now in a βcoreβ folderβββββChapter 5: AI Workflow: The labs portion has been removed from the chapters and moved into a new βlabsβ folder, while the core content is now in a βcoreβ folderβββββChapter 6: Data Engineering: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 7: AI Frameworks: Labs were removed from the chapters and new βlabsβ and βcoreβ folders were created along with the addition of a referenceβββββChapter 8: AI Training: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 9: Efficient AI: The lab portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 10: Model Optimizations: The labs portion has been removed from the chapter content and moved to a new βlabsβ folder within the βcoreβ folderβββββChapter 11: AI Acceleration: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 13: ML Operations: The ML Operations chapter now has a dedicated βlabsβ folder for practical exercises and incorporates feedback from BravoβββββChapter 18: Robust AI: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 15: Security & Privacy: The chapter now excludes lab exercises and has been reorganized into βlabsβ and βcoreβ foldersβββββChapter 16: Responsible AI: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 17: Sustainable AI: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββChapter 19: AI for Good: The labs portion has been removed from the chapters and moved into a new βlabsβ folder within the βcoreβ folderβββββAcknowledgements: The βAcknowledgementsβ chapter now has dedicated folders for labs and core contentβββββSocratiQ: A draft of the SocratiQ bot and its QMD file were createdβββββChapter 19: AI for Good: A labs folder was created and the AI4Good content was updatedβββββChapter 18: Robust AI: The textbook now includes a dedicated βlabsβ folder and updated content within the Robust AI chapterβββββChapter 17: Sustainable AI: A labs folder was created and the sustainable AI content was updatedβββββChapter 16: Responsible AI: A labs folder was created and the responsibleAI content was updatedβββββChapter 13: ML Operations: The ML Operations chapter now includes a labs folder and a core folder, and the MLops content has been updatedβββββChapter 12: Benchmarking AI: Labs and core folders were created and benchmarking content was updatedβββββChapter 11: AI Acceleration: A labs folder was created and the AI hardware section was updatedβββββChapter 10: Model Optimizations: Labs and core folders were created, the βdevβ branch was merged, suggested fixes were implemented, and the optimization content was updatedβββββChapter 9: Efficient AI: The βEfficient AIβ chapter now includes a labs and core folder, along with updated efficiency informationβββββChapter 8: AI Training: A labs folder was created and the training material was updatedβββββChapter 7: AI Frameworks: The AI Frameworks chapter now includes dedicated labs and core folders, along with updated information on various machine learning frameworksβββββChapter 6: Data Engineering: The chapter now includes dedicated labs and core folders, along with updated data engineering content and a revised pathβββββChapter 5: AI Workflow: The AI Workflow chapter now includes a labs folder and a core folder, and the workflow content has been updatedβββββChapter 1: Introduction: The introduction was updated with revised text and new lab and core folders were createdβββββSocratiQ: A draft of the SocratiQ bot has been created
π§βπ» Labs
βββββLab: Labs: The labs were restructured for clarity, documentation was enhanced, and icon usage was adjusted to support PDF buildsβββββLab: Pi Image Classification: The lab now includes notes about large language models and other general machine learning concepts, and has been updated to include Raspberry Pi supportβββββLab: Arduino Keyword Spotting: Corrected code examples for better functionality, clarified instructions for easier understanding, and updated links to ensure accuracy and relevanceβββββLab: Raspi: The formatting of starred text was standardized and the content within raspi.qmd was updatedβββββLab: Raspberry Pi Setup: Corrected the use of colons in code snippets and incorporated notes about large language models and general machine learning conceptsβββββLab: Pi Object Detection: Fixed output formatting issues and improved code readability in the object detection labβββββLab: Pi Large Language Models: A lab for SLMs has been added and some text formatting issues have been correctedβββββLab: Labs Overview: The lab overview has been restructured to address issues related to PARTβββββLab: Nicla Vision: Corrected the use of β: β and β :β in code block text to ensure consistencyβββββLab: Xiao Esp32S3: Corrected the formatting of text using asterisks for emphasisβββββLab: XIAO Setup: Corrected the formatting of text elements to ensure consistencyβββββLab: XIAO Keyword Spotting: Corrected the use of colons in code examples for consistency
π Sep 20 at 07:26 AM
π Chapters
βββββChapter 19: AI for Good: All chapters have been revised and references to figures and other content have been correctedβββββChapter 11: AI Acceleration: Character formatting was corrected, figure references were fixed, and all chapters are now completeβββββChapter 7: AI Frameworks: Figure references were fixed and all chapters were revisedβββββChapter 3: DL Primer: Fixed a broken link to a video and corrected instances of ββ being used instead of β, along with completing revisions for all chaptersβββββChapter 6: Data Engineering: Character formatting was corrected, formatting was improved, and figure references were addedβββββChapter 1: Introduction: Removed references to embedded AI and fixed broken figure references throughout the chapterβββββChapter 9: Efficient AI: Figure references were fixed and all chapters are now completeβββββChapter 14: On-Device Learning: References throughout the chapter were corrected and a path issue was resolvedβββββChapter 5: AI Workflow: References and figure citations were corrected throughout the chapterβββββChapter 13: ML Operations: Figure references were fixed and all chapters were updatedβββββChapter 15: Security & Privacy: Figure references were fixed and merge conflicts were resolved in the chapterβββββChapter 12: Benchmarking AI: The chapterβs formatting was improved, some figures were removed, and merge conflicts were resolvedβββββChapter 2: ML Systems: Figure references were corrected and all chapters are now completeβββββChapter 10: Model Optimizations: Corrected single quotes to apostrophesβββββChapter 8: AI Training: Corrected instances where single quotation marks were used inconsistently with double quotation marksβββββChapter 17: Sustainable AI: Figure references were corrected and typos in the sustainability section were fixed
π§βπ» Labs
βββββLab: Arduino Object Detection: The Arduino object detection lab now includes fixes for code issues and adjustments to the output formatβββββLab: XIAO Setup: Fixes were implemented to improve the XIAO ESP32S3 setup processβββββLab: XIAO Image Classification: The image classification lab now has corrected output formattingβββββLab: XIAO Object Detection: The lab received fixes contributed by BravoBaldoβββββLab: XIAO Keyword Spotting: Fixes were implemented to improve the accuracy and efficiency of the XIAO keyword spotting implementationβββββLab: Raspberry Pi Setup: Character formatting was corrected and additional files were added to the lab setupβββββLab: Lab Setup: Lab setup instructions have been corrected for accuracy and clarityβββββLab: Arduino Motion Classification: The lab received fixes from BravoBaldoβββββLab: XIAO Motion Classification: An image was fixedβββββLab: Raspi: Fixes were implemented by BravoBaldoβββββLab: Pi Image Classification: Character formatting and typos were correctedβββββLab: Pi Object Detection: Corrected typos throughout the lab
π Sep 12 at 10:16 AM
π Chapters
βββββChapter 13: ML Operations: The chapter content has been revised based on feedback from BaldoβββββChapter 20: Conclusion: The conclusion has been revised based on feedbackβββββChapter 19: AI for Good: Several fixes were implemented throughout the chapterβββββChapter 18: Robust AI: The Robust AI chapter has been fixed thanks to contributions from (BravoBaldo?)βββββChapter 17: Sustainable AI: The indentation of a quote was fixed and formatting was improved throughout the chapter
π§βπ» Labs
βββββLab: Pi Object Detection: The Object Detection Lab has been uploaded and includes instructions for running it on a Raspberry PiβββββLab: Pi Image Classification: A link and some typos were corrected
π Sep 06 at 07:18 AM
π Chapters
βββββChapter 16: Responsible AI: The bibliography and text were corrected for accuracy
π Sep 04 at 07:32 PM
π Chapters
βββββChapter 11: AI Acceleration: The chapter includes grammar corrections and improved explanations for clarityβββββChapter 9: Efficient AI: The explanations in Chapter 9 have been refined for better clarityβββββChapter 1: Introduction: Captions for even-numbered pages have been correctedβββββChapter 15: Security & Privacy: The chapter contains grammar corrections and bug fixesβββββChapter 19: AI for Good: Grammar issues were corrected throughout the chapterβββββChapter 12: Benchmarking AI: The chapter contains grammar fixes for improved clarityβββββChapter 20: Conclusion: The conclusion chapter has been revised for improved grammar and clarityβββββChapter 6: Data Engineering: Grammar errors were corrected throughout the chapterβββββChapter 3: DL Primer: Grammar errors were corrected throughout the chapterβββββChapter 7: AI Frameworks: Grammar errors were corrected throughout the chapterβββββChapter 2: ML Systems: Grammar errors were corrected throughout the chapterβββββChapter 14: On-Device Learning: Grammar errors were corrected throughout the chapterβββββChapter 13: ML Operations: Grammar errors were corrected throughout the chapterβββββChapter 10: Model Optimizations: Grammar errors were corrected throughout Chapter 10βββββChapter 16: Responsible AI: Grammar issues were corrected throughout the chapterβββββChapter 18: Robust AI: Grammar errors were corrected throughout the chapterβββββChapter 17: Sustainable AI: Grammar errors were corrected throughout the chapterβββββChapter 8: AI Training: Grammar errors were corrected throughout the chapter
π§βπ» Labs
βββββLab: Arduino Image Classification: The lab now contains grammar corrections for improved readabilityβββββLab: Kws Feature Eng: Grammar errors were corrected throughout the lab
π Sep 02 at 08:19 PM
π Chapters
βββββChapter 13: ML Operations: A section on model serving was added and the content was improved along with fixing some mistakesβββββChapter 11: AI Acceleration: The chapter now includes a table fix, more student-friendly explanations of hardware design principles, and an introductionβββββChapter 2: ML Systems: A dangling sentence was corrected
π§βπ» Labs
βββββLab: Raspberry Pi Setup: The Raspberry Pi setup instructions were updated and additional files were includedβββββLab: Pi Image Classification: Files were added to the lab
π Aug 29 at 11:14 PM
π Chapters
βββββChapter 14: On-Device Learning: The chapter content has been revised to incorporate feedback from (BravoBaldo?)βββββChapter 13: ML Operations: The chapter received fixes based on feedback from BravoBaldo
π§βπ» Labs
βββββLab: Labs: Resolved an issue with merging tablesβββββLab: Pi Image Classification: Files were added to the labβββββLab: Kws Feature Eng: Formatting issues were fixed
π Aug 27 at 12:28 PM
π Chapters
βββββChapter 9: Efficient AI: Duplicate information was removed between chapters 8 and 9, background about floating point representation was added, and explanations of structure importance methods were correctedβββββChapter 10: Model Optimizations: Duplicate information was removed between chapters 8 and 9, the knowledge distillation explanation was improved, and the challenges were adjusted to be less repetitiveβββββChapter 7: AI Frameworks: The AI Frameworks chapter now has corrected links and improved table formattingβββββChapter 15: Security & Privacy: The Power Attack and Side-Channel Attack sections were edited and broken links were fixedβββββChapter 11: AI Acceleration: This update fixes several issues including broken links, inaccurate information about qbits, hyphen errors, duplicate titles, and an incomplete sentenceβββββChapter 12: Benchmarking AI: Fixes were implemented throughout the chapterβββββChapter 13: ML Operations: Minor wording changes were made for improved clarity and concisenessβββββChapter 17: Sustainable AI: Broken links within the chapter have been fixed
π§βπ» Labs
βββββLab: Xiao Esp32S3: Table formatting for grid tables has been fixed
π Aug 22 at 11:13 AM
π Chapters
βββββChapter 19: AI for Good: A new section on AI for climate change mitigation was added, the disaster response case study was updated, and ethical considerations in AI for good were discussedβββββChapter 11: AI Acceleration: A new section on systolic array architectures was added, the discussion of tensor cores was updated, and example code for matrix multiplication on a TPU was includedβββββChapter 17: Sustainable AI: A new section on ethical considerations in AI development was added, existing content on bias mitigation techniques was updated, and real-world case studies of sustainable AI practices were included
π§βπ» Labs
βββββLab: Labs: Lab files were added to the textbookβββββLab: Raspi: Files were added to the Raspi labβββββLab: Raspberry Pi Setup: Files were added to the Raspberry Pi Setup lab
π Aug 21 at 09:47 PM
π Chapters
βββββDsp Spectral Features Block: Removed dead code from the chapterβββββLab: Arduino Image Classification: Dead code was removed from the labβββββChapter 10: Model Optimizations: Typos were corrected throughout the chapterβββββChapter 6: Data Engineering: Typos were correctedβββββChapter 7: AI Frameworks: Typos were fixedβββββChapter 11: AI Acceleration: Typos were fixedβββββChapter 14: On-Device Learning: Typos were correctedβββββChapter 13: ML Operations: Typos were correctedβββββChapter 15: Security & Privacy: Typos were fixedβββββChapter 8: AI Training: Inconsistent bold text has been removed throughout the chapterβββββChapter 2: ML Systems: A minor typo was corrected
π§βπ» Labs
βββββLab: Pi Image Classification: This lab introduces a basic image classification pipeline using a Raspberry PiβββββLab: Pi Object Detection: This lab introduces object detection using a Raspberry PiβββββLab: Labs: The lab section now includes a fixed table format and an initial version of a Raspberry Pi labβββββLab: Raspi: This lab introduces a Raspberry Pi-based machine learning projectβββββLab: Raspberry Pi Setup: This lab now includes initial instructions for setting up a Raspberry Pi for machine learning tasksβββββLab: Pi Large Language Models: This lab introduces a basic implementation of a large language model on a Raspberry PiβββββLab: Lab Setup: This lab now includes initial instructions for setting up a Raspberry Pi environment
π Aug 15 at 03:57 PM
π Chapters
βββββChapter 15: Security & Privacy: Table references were fixed for accuracyβββββChapter 11: AI Acceleration: Table references were fixed for accuracyβββββChapter 13: ML Operations: Table references were fixed
π Aug 15 at 03:41 PM
π Chapters
βββββChapter 6: Data Engineering: Implemented pivotal fixes and enhancements to improve the clarity and effectiveness of data engineering explanationsβββββChapter 10: Model Optimizations: Several pivotal fixes and enhancements were made to improve clarity and accuracy of the contentβββββChapter 18: Robust AI: Citation references were fixed and tables now have striped and hover stylesβββββChapter 13: ML Operations: Tables now have striped and hover styles, centering has been fixed, and the grid table has been updatedβββββChapter 15: Security & Privacy: The table in this chapter has been updated to a grid format and several fixes have been implementedβββββChapter 8: AI Training: A broken Colab link was fixed, table formatting was updated, and some minor text edits were madeβββββChapter 19: AI for Good: The AI for Good chapter has been enhancedβββββChapter 12: Benchmarking AI: The chapter now includes fixes, utilizes improved language for clarity, and delves deeper into various benchmarking techniquesβββββChapter 3: DL Primer: The chapter received several enhancements and bug fixesβββββChapter 9: Efficient AI: The chapter contains fixes and enhancements based on user feedback and deeper exploration of conceptsβββββChapter 7: AI Frameworks: Implemented fixes and enhancements related to delve and utilization within the framework discussionsβββββChapter 11: AI Acceleration: The grid table in the chapter has been updated and several errors have been fixedβββββLab: Arduino Image Classification: The Arduino image classification lab has been enhancedβββββChapter 1: Introduction: The introduction has been updated with fixes related to delve integrationβββββChapter 2: ML Systems: Implemented pivotal fixes and enhanced utilization within the chapterβββββChapter 14: On-Device Learning: The chapter now includes a grid table and has been corrected for errorsβββββChapter 16: Responsible AI: The chapter content is now presented in a grid table formatβββββChapter 17: Sustainable AI: The chapter includes fixes and enhancements related to delve utilizationβββββChapter 5: AI Workflow: The AI Workflow chapter received several enhancements and bug fixes to improve clarity and accuracy
π§βπ» Labs
βββββLab: Arduino Image Classification: The Arduino image classification code has been enhanced and fixes have been implemented for issues within the labβββββLab: XIAO Image Classification: Delve fixes were implementedβββββLab: XIAO Keyword Spotting: The lab now utilizes
π Aug 15 at 07:22 AM
π Chapters
βββββChapter 8: AI Training: The chapter now includes a discussion on regularization techniques and hyperparameter search methods, consolidates information about common training pitfalls, and updates the notation used for neural networksβββββChapter 9: Efficient AI: The Efficient AI chapter was updated with changes incorporated from the βdevβ branchβββββChapter 7: AI Frameworks: Typos were corrected throughout the chapter
π Aug 06 at 09:39 PM
π Chapters
βββββChapter 7: AI Frameworks: The chapter content was updated to focus on advanced features while removing the federated learning section. Table formatting was improved for better readability and consistencyβββββDsp Spectral Features Block: Image width issues affecting PDF rendering have been fixedβββββLab: Arduino Image Classification: Image width issues were fixed for PDF rendering, redundant underlines were removed, and remaining broken video links were correctedβββββChapter 13: ML Operations: The chapter now features corrected URL links, updated table formatting for a grid view, and consistent βSourceβ attribution with revised formattingβββββChapter 18: Robust AI: Tables in this chapter now use grid formatting and are left-aligned for better readability, and source citations have been updatedβββββChapter 5: AI Workflow: Tables now use grid formatting and are left-aligned with markdown, incorporating student feedbackβββββChapter 3: DL Primer: Fixed all broken URL links in the chapter, updated credit information to βSource:β, and improved table formatting for consistencyβββββChapter 6: Data Engineering: The chapter now has consistent source citations and includes a new Wake Vision Colab exerciseβββββChapter 15: Security & Privacy: The privacy and security section was edited and broken links were fixedβββββChapter 19: AI for Good: All broken URL links were fixed and credit source formatting was updated for consistencyβββββChapter 11: AI Acceleration: All broken URL links were fixed and credit source formatting was updated for consistencyβββββChapter 14: On-Device Learning: All broken URL links were fixed, table formatting was updated, and the βCreditβ section was renamed to βSourceββββββChapter 16: Responsible AI: All broken URL links were fixed, credit sources were updated with consistent formatting, and HTML + PDF builds were added for Edward TufteβββββChapter 8: AI Training: All broken URL links were fixed, credit source formatting was updated to be consistent, and grid tables with left-aligned markdown formatting were implementedβββββChapter 9: Efficient AI: Grid tables were added to the chapter, all tables are now left-aligned, and image paths and figure IDs were updated for consistencyβββββChapter 2: ML Systems: Implemented grid tables, aligned all tables with markdown formatting, standardized source formatting, and added an HTML + PDF build based on Edward Tufteβs styleβββββChapter 10: Model Optimizations: Implemented grid tables for better presentation, aligned all tables with markdown formatting, and added in-text citations for sourcesβββββChapter 12: Benchmarking AI: Credit attributions were updated and formatting was made consistent throughout the chapterβββββChapter 17: Sustainable AI: Source citations were updated and formatting was standardized for consistency across the document; additionally, HTML and PDF builds were createdβββββChapter 1: Introduction: The textbook now has HTML and PDF output formats
π§βπ» Labs
βββββLab: Nicla Vision: Tables are now left-aligned and credit information is updated with consistent formattingβββββLab: Arduino Setup: Image width issues for PDF rendering were fixed and redundant underlines were removedβββββLab: Arduino Image Classification: Image width issues were fixed for PDF rendering, redundant formatting was removed, and remaining broken video links were correctedβββββLab: Arduino Object Detection: Image width issues were fixed for PDF rendering and all broken video links were repairedβββββLab: Arduino Keyword Spotting: Image width issues were fixed to improve PDF rendering and all broken URL links were correctedβββββLab: Arduino Motion Classification: Image width issues affecting PDF rendering have been fixedβββββLab: XIAO Setup: Image width issues affecting PDF rendering have been fixedβββββLab: XIAO Image Classification: Image width issues affecting PDF rendering have been fixedβββββLab: XIAO Object Detection: Image width issues affecting PDF rendering have been fixedβββββLab: XIAO Keyword Spotting: Image width issues in PDFs were fixed and broken links caused by formatting were resolvedβββββLab: XIAO Motion Classification: Image width issues affecting PDF rendering have been fixedβββββLab: Dsp Spectral Features Block: Image width issues affecting PDF rendering have been fixedβββββLab: Xiao Esp32S3: The credit section was updated to βSource:β and formatting was corrected for consistencyβββββLab: Shared: Tables in markdown formatting are now left alignedβββββLab: Kws Feature Eng: Image widths were fixed to ensure proper rendering in PDF format
π Jun 25 at 07:01 AM
π Chapters
βββββChapter 3: DL Primer: The link for video 3.1 has been corrected
π Jun 20 at 05:33 PM
π Chapters
βββββChapter 2: ML Systems: The chapter now includes corrections to a broken reference and incorporates feedback from students
π§βπ» Labs
βββββLab: Shared: Broken links were fixed
π Jun 19 at 08:54 AM
π Chapters
βββββObject Detection Fomo: Labs have been integrated into the Object Detection Fomo chapterβββββChapter 12: Benchmarking AI: The chapter now includes an MLPerf training progress figure and incorporates updates from Colbyβs revisions while resolving reference build problemsβββββChapter 11: AI Acceleration: Citation formatting was changed from parentheses to brackets, MD lint fixes were implemented, and a link to Googleβs Edge TPU website was addedβββββChapter 1: Introduction: The introduction material was updated and the foreword content was removed to improve clarity and focusβββββChapter 2: ML Systems: The content of the chapter has been improved based on feedback and data reviewβββββChapter 6: Data Engineering: Citation formatting was changed from parentheses to square brackets and minor code style issues were addressedβββββChapter 10: Model Optimizations: Citation formatting was changed from parentheses to brackets and several typos were correctedβββββChapter 18: Robust AI: Citation formatting was changed from parentheses to brackets and markdown linting issues were addressedβββββAcknowledgements: The acknowledgements were updated with MD lint fixes and some comments were disabled on specific pagesβββββChapter 19: AI for Good: Applied Markdown linting fixes for improved formatting consistencyβββββChapter 20: Conclusion: Applied Markdown linting fixes for consistency and readabilityβββββChapter 3: DL Primer: Redundancy was removed, a formatting issue was fixed, and several typos were correctedβββββChapter 9: Efficient AI: Video references were added and minor formatting issues were correctedβββββChapter 7: AI Frameworks: The chapter contains a batch of typo and format fixesβββββLab: Arduino Image Classification: The lab notebook underwent code style and formatting improvements using MD lintβββββChapter 14: On-Device Learning: Applied Markdown linting fixes for improved formatting and consistencyβββββChapter 13: ML Operations: The chapterβs Markdown code underwent syntax and style checks for consistencyβββββChapter 15: Security & Privacy: The chapterβs headers were corrected for consistency and minor code style issues were addressedβββββChapter 16: Responsible AI: The chapterβs Markdown formatting has been improved for consistency and readabilityβββββChapter 17: Sustainable AI: The chapterβs Markdown code was cleaned up for consistency and readabilityβββββChapter 8: AI Training: The chapter contains a batch of typo and format fixesβββββChapter 5: AI Workflow: The Markdown code was cleaned up using a linting toolβββββDsp Spectral Features Block: Resources were fixed and the title was slightly modifiedβββββGenerative Ai: Several instances of wording were refined for clarity
π§βπ» Labs
βββββLab: Labs: The lab section was reorganized, the overview was updated, a table was transposed and updated, and labs were integrated into the contentβββββLab: Nicla Vision: The lab now has a corrected build process, includes KWS, features improved introductory text, updated images, and a restructured folderβββββLab: Arduino Image Classification: This update fixes resource links, integrates the Arduino labs into the curriculum, and adds all necessary Arduino lab filesβββββLab: Arduino Setup: Resources were updated, elements were renamed, and the setup was integrated into the lab environmentβββββLab: Arduino Object Detection: Resource links were fixed and the object detection lab was integrated into the existing labs sectionβββββLab: Arduino Keyword Spotting: Resource links were fixed, code examples were improved, and grammar was correctedβββββLab: Arduino Motion Classification: The lab now has corrected grammar and improved content placementβββββLab: Xiao Esp32S3: The lab now has a restructured folder with fixed build errors, an image credit, and improved introductory textβββββLab: XIAO Setup: Resources were fixed, SEEED labs were imported, and some elements were renamedβββββLab: XIAO Image Classification: The lab now imports SEEED labs and integrates them into the existing lab structure, with resource fixes implementedβββββLab: XIAO Object Detection: The lab now includes MD lint fixes, resource corrections, and integration with SEEED labsβββββLab: XIAO Keyword Spotting: Resources were fixed, SEEED labs were imported and integrated into the lab exercisesβββββLab: XIAO Motion Classification: The lab now includes fixed resources, a link to an internal document, and integrates with SEEED labsβββββLab: Shared: Added an overview of the shared labs sectionβββββLab: Kws Feature Eng: Resources were fixed, minor tweaks were made, and the lab was integrated into the existing structureβββββLab: Dsp Spectral Features Block: The labβs title was slightly adjusted and it is now integrated into other lab sectionsβββββLab: Lab Setup: Added getting started content and updated the overview section with a placeholder for detailed information
π Jun 11 at 04:08 PM
π Chapters
βββββChapter 18: Robust AI: The chapter now includes video callouts, reorganized exercise callouts, updated references and links, an expanded general description, and information about Bayesian Neural NetworksβββββChapter 11: AI Acceleration: Video callouts were added to the chapter along with end-of-section resources, and spacing and formatting issues were correctedβββββChapter 19: AI for Good: Video callouts were added to the chapter and exercise callout blocks were folded for improved visual presentationβββββChapter 12: Benchmarking AI: Video callouts were added to the chapter, a previous formatting issue was fixed, and exercise callout blocks were reorganized for better visual appealβββββChapter 6: Data Engineering: Video callouts were added and all exercise callout blocks were folded for improved aestheticsβββββChapter 3: DL Primer: Video callouts and end-of-section resources were added to the chapterβββββChapter 9: Efficient AI: Video callouts and end-of-section resources were added to the chapterβββββChapter 7: AI Frameworks: Video callouts were added and all exercise callout blocks were folded for improved aestheticsβββββChapter 2: ML Systems: Video callouts were added and exercise callout blocks were folded for improved visual presentationβββββChapter 14: On-Device Learning: Video callouts were added to the chapter and exercise callout blocks were folded for improved visual appealβββββChapter 13: ML Operations: Video callouts were added to the chapter and exercise callout blocks were folded for improved visual appealβββββChapter 10: Model Optimizations: Video callouts were added and exercise callout blocks were folded for improved aestheticsβββββChapter 15: Security & Privacy: Video callouts were added and exercise callout blocks were folded for improved visual presentationβββββChapter 16: Responsible AI: Video callouts and end-of-section resources were added to the chapterβββββChapter 17: Sustainable AI: Video callouts were added and all exercise callout blocks were folded for improved aestheticsβββββChapter 8: AI Training: Video callouts were added to the chapter, exercise callout blocks were reorganized for better visual appeal, and a table rendering issue was fixedβββββChapter 5: AI Workflow: Video callouts were added to the chapter and a previous formatting error with .callout was fixedβββββGenerative Ai: Added and tweaked coming soon text about generative AI
π Jun 01 at 01:11 PM
π Chapters
βββββChapter 19: AI for Good: The Colab badge was repaired, the βcoming soonβ section now uses bullets, and the slide notes use the default format for better PDF outputβββββChapter 12: Benchmarking AI: The Colab badge was fixed, the βcoming soonβ section was updated with bullets, and the default note for slides was implemented for better PDF renderingβββββChapter 6: Data Engineering: The Colab badge was fixed, the βcoming soonβ section was updated with bullets, and minor markdown issues were corrected in the text and URL highlightingβββββChapter 3: DL Primer: The Colab badge was fixed, the βcoming soonβ section now uses bullets, and the default note for slides was changed for better PDF renderingβββββChapter 7: AI Frameworks: The Colab badge was fixed, the βcoming soonβ section now uses bullets, and the default note for slides is updated for better PDF renderingβββββChapter 11: AI Acceleration: The Colab badge was fixed, the βcoming soonβ section was updated with bullets, and the default note for slides was changed for better PDF renderingβββββChapter 2: ML Systems: Resolved Colab badge display errors, revised the βcoming soonβ section with bullets, and ensured slides rendered properly in PDF formatβββββChapter 14: On-Device Learning: The Colab badge was fixed, the βcoming soonβ section was updated to use bullets, and slide note formatting was changed for better PDF renderingβββββChapter 13: ML Operations: The Colab badge was fixed, the βcoming soonβ section was updated to use bullets, and the default note for slides was changed to render better in PDFβββββChapter 10: Model Optimizations: The Colab badge was fixed, the βcoming soonβ section now uses bullets, and the default note for slides was changed for better PDF renderingβββββChapter 15: Security & Privacy: The Colab badge was fixed, the βcoming soonβ section was updated with bullets, and the default note for slides was changed to improve PDF renderingβββββChapter 18: Robust AI: Resolved Colab badge and rendering problems, implemented (exr?)- for Colabs, and optimized slide display for PDFsβββββChapter 17: Sustainable AI: The Colab badge was fixed, the βcoming soonβ section was updated with bullets, and the default note for slides was changed for better PDF renderingβββββChapter 8: AI Training: The Colab badge was fixed, the βcoming soonβ section was updated with bullets, and formatting was improved for labs, exercises, and slidesβββββChapter 9: Efficient AI: Fixed rendering problems, corrected some headers, and set a default note for slides to ensure proper PDF outputβββββChapter 16: Responsible AI: The coming soon section was updated with bullets, default notes were applied to slides for better PDF rendering, and formatting was adjusted in labs, exercises, and slidesβββββChapter 5: AI Workflow: The coming soon section now uses bullets, the slide default note was changed for better PDF rendering, and formatting was adjusted in labs, exercises, and slidesβββββChapter 1: Introduction: Reference links were reintroduced and the introduction sectionβs grammar and readability were enhancedβββββGenerative Ai: Fixed rendering problems in the chapter
π May 26 at 03:41 PM
π Chapters
βββββChapter 18: Robust AI: This update includes a new resources section, incorporates feedback for improved clarity, and addresses several figure reference and formatting issuesβββββChapter 10: Model Optimizations: The chapter now includes videos, updated exercises, and additional slidesβββββChapter 20: Conclusion: The conclusion section was updated and a cover image was added to the fileβββββChapter 3: DL Primer: This update includes added videos, an updated Data Diversity and Quality section, and captions for all tablesβββββChapter 14: On-Device Learning: This chapter now includes short captions for videos, additional Colab exercises, and an updated conclusion sectionβββββChapter 17: Sustainable AI: The conclusion was updated, figure captions and references were fixed, and section headers were added for cross-referencingβββββChapter 9: Efficient AI: Section headers were added for easier cross-referencing, figure captions and references were corrected, and captions were added to all tablesβββββChapter 6: Data Engineering: The chapter now includes additional slides and updated exercises, along with a fix to enable PDF builds by converting the colab-badge.svg to PNGβββββChapter 8: AI Training: Added short captions to all videos, included section headers for easier cross-referencing, and corrected figure captions and referencesβββββChapter 7: AI Frameworks: Fixed broken slide links, added section headers for easier cross-referencing, and corrected figure captions and referencesβββββChapter 13: ML Operations: Added short captions to videos, renamed the βembedded opsβ section to just βopsβ, and corrected the bib file extensionβββββChapter 15: Security & Privacy: This update includes captions for all tables and video content, along with a change in the colab-badge.svg file format to enable PDF buildsβββββChapter 5: AI Workflow: Slide links were fixed, section headers were added to facilitate cross-referencing, and an error in the bib file header was correctedβββββChapter 19: AI for Good: Section headers were added for easier cross-referencing, short captions were added to the videos, and the SVG image was changed to PNG to enable PDF buildsβββββChapter 12: Benchmarking AI: The chapter content was cleaned up, including slides, exercises, and labs, section headers were added to enable cross-referencing, and punctuation inconsistencies were correctedβββββChapter 11: AI Acceleration: Added section headers for easier cross-referencing, fixed broken links, and updated figure captions and referencesβββββChapter 2: ML Systems: Added section headers for easier cross-referencing, updated names throughout the chapter, and removed the βEmbedded Systemsβ section to focus solely on ML systemsβββββChapter 16: Responsible AI: Section headers were added for easier cross-referencing, a broken link was fixed, and grammar errors were correctedβββββGenerative Ai: Section headers were added for easier cross-referencing and βComing soonβ was changed to βComing soonββββββChapter 1: Introduction: Section headers were added for easier cross-referencing, a bib file header error was corrected, and a cover image was added to the introduction chapterβββββEmbedded Ml: Chapters 1 through 4 were edited and the collapse setting for the Embedded Ml chapter was set to falseβββββEmbedded Sys: Chapters 1 through 4 were edited, additional slides were included, and the collapse setting was changedβββββAcknowledgements: Image logos were added and an initial draft of the acknowledgements chapter was createdβββββDsp Spectral Features Block: The text now uses consistent punctuation and corrects instances of βsβ to βsββββββLab: Arduino Image Classification: Punctuation has been corrected throughout the labβββββKws Feature Eng: Punctuation has been corrected throughout the chapterβββββMotion Classify Ad: Corrected punctuation throughout the chapterβββββNiclav Sys: Punctuation has been corrected throughout the chapter
π Mar 21 at 11:55 AM
π Chapters
βββββChapter 6: Data Engineering: The Resources section now includes introductory text for each part and can be collapsed, exercise callouts have been added, and slides have been moved to the end of the pageβββββEmbedded Sys: The Resources section now includes introductory text for each part and can be collapsed, additional slides were added, and all slides have been moved to the end of the pageβββββChapter 19: AI for Good: The Resources section now includes introductory text for each part and can be collapsed, while slides have been moved to the end of the pageβββββChapter 12: Benchmarking AI: The βResourcesβ section was added to the end of all QMD files and includes introductory text for each part, which can now be collapsed. Slides were also moved to the end of the pageβββββChapter 3: DL Primer: Resource sections now have introductory text and collapsible functionality, additional slides were included, and all slides are now located at the end of the pageβββββChapter 9: Efficient AI: The Resources section now includes introductory text for each part and can be collapsed, additional slides were added, and an empty βResourcesβ section with headers was added to the end of all QMD filesβββββEmbedded Ml: The Embedded Ml chapter now includes additional slides placed at the end of each page, along with an updated Resources section featuring introductory text for each part and collapsible functionalityβββββChapter 7: AI Frameworks: The Resources section now includes introductory text for each part, collapsible functionality, and Colab badges. Slides have been moved to the end of the pageβββββChapter 11: AI Acceleration: The Resources section in each QMD now includes introductory text and can be collapsed, and an empty βResourcesβ section has been added to the end of all QMD filesβββββChapter 14: On-Device Learning: The Resources section now includes introductory text for each part and can be collapsed, additional slides were added, and all slides are now located at the end of the pageβββββChapter 13: ML Operations: The Resources section now includes introductory text for each part and can be collapsed, additional slides were added, and all slides have been moved to the end of the pageβββββChapter 10: Model Optimizations: A βResourcesβ section with collapsible introductory text was added to the end of all QMD files and slides were moved to the end of each pageβββββChapter 15: Security & Privacy: The Resources section now has introductory text for each part and can be collapsed, additional slides were added, and slides were moved to the end of the pageβββββChapter 16: Responsible AI: A Resources section with collapsible parts was added to the end of the chapter and slides were moved to the end of the pageβββββChapter 17: Sustainable AI: Each resource section now has introductory text, slides are located at the end of pages, and an empty βResourcesβ section was added to all QMD filesβββββChapter 8: AI Training: The Resources sections now have introductory text and can be collapsed, additional slides were added, and all slides are now located at the end of the pageβββββChapter 5: AI Workflow: The Resources section now includes introductory text for each part and can be collapsed, while slides have been moved to the end of the page
π Mar 12 at 04:39 PM
π Chapters
βββββChapter 10: Model Optimizations: Implemented non-ASCII character checking scripts and fixed style issues to ensure successful rendering. Six new chapters were also addedβββββChapter 7: AI Frameworks: Added Colab notebooks for the chapter, included additional slides, fixed previous notes, and implemented scripts to check for non-ASCII charactersβββββChapter 6: Data Engineering: The data engineering chapter now includes Colab notebooks, a new web scraping exercise in both the subsection and as a separate part of the exercises, and additional slidesβββββChapter 11: AI Acceleration: The chapter content now excludes a figure reference and a Mermaid section, and the non-ASCII checker scripts have been correctedβββββNiclav Sys: Links were corrected and new scripts were added to check for and fix issues with non-ASCII charactersβββββEmbedded Ml: Debug code was removed, arrow functionality was added to the style file, and custom callouts were implementedβββββChapter 19: AI for Good: The chapter now includes additional slides, non-ASCII checking scripts, and various bug fixesβββββChapter 12: Benchmarking AI: The chapter now includes additional slides, corrections to previous notes, and scripts for checking non-ASCII charactersβββββChapter 3: DL Primer: The chapter now includes additional slides and incorporates non-( ) ASCII checker scripts with accompanying fixesβββββEmbedded Sys: The chapter now includes additional slides and incorporates non-ASCII checking scripts with necessary fixesβββββChapter 14: On-Device Learning: The chapter content was expanded with additional slides and (Non-) ASCII checker scripts were added along with necessary fixesβββββChapter 13: ML Operations: The chapter now includes additional slides, corrected previous notes, and incorporates new scripts for checking non-ASCII charactersβββββChapter 15: Security & Privacy: The chapter now includes additional slides and corrections to previous notesβββββChapter 16: Responsible AI: The Responsible AI chapter now includes additional slides and has been styled for better renderingβββββChapter 17: Sustainable AI: The chapter now includes additional slides and incorporates non-ASCII checking scripts with necessary fixesβββββChapter 8: AI Training: The chapter now includes additional slides, non-( ) ASCII checker scripts were added, and style was fixed for successful renderingβββββChapter 5: AI Workflow: The chapter now includes additional slides, corrected previous notes, and incorporates non-( ) ASCII checker scripts with relevant fixesβββββChapter 9: Efficient AI: Incorporated non-ASCII checker scripts and resolved issues with non-ASCII characters in code examples
π Feb 03 at 09:53 AM
π Chapters
βββββChapter 12: Benchmarking AI: Unpopulated list items were removed and the styling of list items was made more consistentβββββChapter 13: ML Operations: The MCU example for smartwatches was updated and a reference was addedβββββChapter 15: Security & Privacy: Video rendering is fixed, GDPR and CCPA section hyperlinks are improved, and the CCPA summary is more clearβββββChapter 11: AI Acceleration: Video rendering in the chapter has been fixedβββββChapter 19: AI for Good: Video rendering and YouTube shortened URL resolution have been fixedβββββChapter 14: On-Device Learning: The rendering of itemized lists has been fixedβββββChapter 3: DL Primer: Video rendering issues in the chapter have been fixedβββββChapter 17: Sustainable AI: List item spacing was made consistent and a reference to the OECD blueprint paper was added
π Feb 02 at 05:12 PM
π Chapters
βββββChapter 19: AI for Good: Several image links were fixed, all bibtex references were updated automatically, and the β81-figure-references/part-2β branch was mergedβββββChapter 11: AI Acceleration: Several image links were fixed, bibtex entries were corrected, and all bibtex references were updated automaticallyβββββChapter 13: ML Operations: Several image links were repaired, all bibtex references were updated automatically, and a figure rendering problem was resolvedβββββChapter 15: Security & Privacy: Several image references were fixed, grammar was corrected, and video URLs were adjusted to ensure proper renderingβββββChapter 17: Sustainable AI: Several image links were fixed, all bibtex references were updated automatically, and a broken chapter link was repairedβββββChapter 6: Data Engineering: Updated callout content, added a web scraping exercise using Colab, automatically updated all bibtex references, and converted PNG images to JPG formatβββββChapter 16: Responsible AI: The way @ is used in citations was fixed and all BibTeX references were updated automaticallyβββββChapter 12: Benchmarking AI: Reference rendering in the chapter is fixed and all BibTeX references have been updated automaticallyβββββChapter 10: Model Optimizations: A missing reference for quantization-aware pruning was added, an incomplete sparsity matrix filter illustration was removed and moved to a later section, and all bibtex references were automatically updatedβββββChapter 14: On-Device Learning: The chapterβs bullet list was updated for clarity, and a broken hyperlinked image was removedβββββChapter 3: DL Primer: SVG images were removed from the chapter and replaced with PNGs to ensure proper rendering in PDF outputsβββββEmbedded Sys: Bibtex references throughout the chapter were automatically updatedβββββChapter 8: AI Training: Bibtex references throughout the chapter were automatically updatedβββββEmbedded Ml: The image format in the Embedded ML chapter has been switched to PNG
π Jan 02 at 12:08 PM
π Chapters
βββββNiclav Sys: A typo was corrected in the Installing the OpenMV IDE sectionβββββChapter 7: AI Frameworks: The chapter content now includes corrections to a callout-tip and minor syntax issues
π Dec 19 at 09:21 AM
π Chapters
βββββChapter 10: Model Optimizations: The chapter now includes figures and formatting and reference errors have been corrected
π Dec 18 at 11:08 AM
π Chapters
βββββChapter 12: Benchmarking AI: The chapterβs content was moved to the benchmarks/leaderboards section and a problem with reference separators was correctedβββββChapter 17: Sustainable AI: Content related to sustainable AI was moved to the benchmarks/leaderboards section, wording about power draw was corrected, and a citation was fixedβββββChapter 10: Model Optimizations: Resolved a markdown formatting issue that affected Windows users
π Dec 13 at 12:01 PM
π Chapters
βββββChapter 7: AI Frameworks: The Colab notebooks for AI framework examples have been updated
π Dec 13 at 10:00 AM
π Chapters
βββββChapter 9: Efficient AI: A broken URL link was fixed
π Dec 12 at 04:10 PM
π Chapters
βββββChapter 12: Benchmarking AI: Reference spacing in the chapter has been fixed
π Dec 12 at 01:21 PM
π Chapters
βββββChapter 8: AI Training: The file path for this chapter was updatedβββββChapter 10: Model Optimizations: A missing reference for an attention paper was updated
π Dec 12 at 09:34 AM
π Chapters
βββββChapter 10: Model Optimizations: References now use square brackets instead of other formatting
π Dec 11 at 04:37 PM
π Chapters
βββββChapter 3: DL Primer: The DL primer no longer includes an activation function and its computation graph has been moved to the training sectionβββββChapter 8: AI Training: The DL primer activation function was removed and the computation graph was moved to the training sectionβββββChapter 12: Benchmarking AI: The chapterβs text was updated for improved clarity and accuracy, and several new examples were addedβββββChapter 11: AI Acceleration: The chapterβs terminology has been updated for clarity and explanations of hardware acceleration concepts have been refinedβββββChapter 14: On-Device Learning: Updated terminology for consistency and improved explanations of key conceptsβββββGenerative Ai: Text in the chapter has been cleaned upβββββChapter 18: Robust AI: Text in the chapter has been cleaned upβββββChapter 6: Data Engineering: Several sentences were updated for improved clarity and concisenessβββββEmbedded Ml: Various words were changed for clarity and accuracyβββββEmbedded Sys: Several words were changed for clarity and precision
π Dec 11 at 02:06 PM
π Chapters
βββββChapter 12: Benchmarking AI: The text now consistently uses βTinyMLβ instead of βtinyMLββββββChapter 6: Data Engineering: The text now consistently uses βTinyMLβ instead of βtinyMLββββββEmbedded Sys: The text now consistently uses βTinyMLβ instead of βtinyMLββββββChapter 7: AI Frameworks: The text now consistently uses βTinyMLβ instead of βtinyMLββββββChapter 11: AI Acceleration: The text now consistently uses βTinyMLβ instead of βtinyMLββββββLab: Arduino Image Classification: The text now consistently uses βTinyMLβ instead of βtinyMLββββββKws Nicla: The text now consistently uses βTinyMLβ instead of βtinyMLββββββChapter 10: Model Optimizations: The text now consistently uses βTinyMLβ instead of βtinyMLββββββChapter 16: Responsible AI: The text now consistently uses βTinyMLβ instead of βtinyMLββββββChapter 5: AI Workflow: The text now consistently uses βTinyMLβ instead of βtinyMLβ
π Dec 11 at 01:50 PM
π Chapters
βββββChapter 9: Efficient AI: References were added for mentioned datasets in the Efficient AI chapter, as well as for ResNet-SE and ResNeXt papers. Each chapter now has its own dedicated references fileβββββChapter 7: AI Frameworks: The AI Frameworks chapter now has its own reference file and a fixed URLβββββChapter 10: Model Optimizations: The chapter now uses consistent terminology (FP32), removed redundant information about the lottery ticket hypothesis, and each chapter has its own reference listβββββChapter 11: AI Acceleration: The chapter now includes additional references for machine learning and reinforcement learning applications in architecture design space exploration, general-purpose computing, chip floorplanning, and logic synthesisβββββChapter 19: AI for Good: The AI for Good chapter now has its own dedicated references fileβββββChapter 12: Benchmarking AI: The references for Chapter 12 are now stored in a separate fileβββββChapter 6: Data Engineering: References are now distributed to individual chapter filesβββββChapter 3: DL Primer: Each chapter now has its own dedicated references fileβββββDsp Spectral Features Block: Distributed references so each chapter has its own references fileβββββEmbedded Ml: Distributed references to individual chaptersβββββEmbedded Sys: Distributed references to individual chaptersβββββGenerative Ai: The Generative AI chapter now has its own dedicated references fileβββββLab: Arduino Image Classification: Each chapter now has its own dedicated references fileβββββKws Feature Eng: Distributed references so each chapter has its own references fileβββββKws Nicla: References are now chapter-specificβββββMotion Classify Ad: References are now chapter-specificβββββNiclav Sys: References are now chapter-specificβββββObject Detection Fomo: The Object Detection Fomo chapter now has its own dedicated references fileβββββChapter 14: On-Device Learning: Each chapter now has its own reference file and the book was updated with changes from the upstream main branchβββββChapter 13: ML Operations: References are now distributed to each chapterβs own filesβββββChapter 15: Security & Privacy: Each chapter now has its own references file and the book was updated with changes from the upstream main branchβββββChapter 16: Responsible AI: The Responsible AI chapter now has its own dedicated references fileβββββChapter 18: Robust AI: The Robust AI chapter now has a dedicated references fileβββββChapter 17: Sustainable AI: The references for each chapter are now stored in separate filesβββββChapter 8: AI Training: Each chapter now has a dedicated references fileβββββChapter 5: AI Workflow: The workflow chapter now has its own dedicated references file
π Dec 10 at 04:03 PM
π Chapters
βββββChapter 8: AI Training: References are now formatted to appear before periods
π Dec 10 at 03:38 PM
π Chapters
βββββChapter 12: Benchmarking AI: The images folder was reorganized with subfolders based on file type and all files were restructured into a new folder systemβββββChapter 6: Data Engineering: The images folder has been reorganized with subfolders based on file type and all files have been restructured into a new folder systemβββββDsp Spectral Features Block: The images directory has been reorganized with subfolders based on file type and all files have been restructured into a new folder systemβββββEmbedded Ml: The image directory has been reorganized with subfolders by file type and all files have been restructured into a new folder systemβββββGenerative Ai: The images directory was reorganized with subfolders by file type and all files were restructured into a new folder systemβββββMotion Classify Ad: The image directory was reorganized with subfolders based on file type and all files were restructured into a new folder systemβββββNiclav Sys: The image directory has been reorganized with subfolders based on file type and all files have been restructured into a new folder systemβββββChapter 16: Responsible AI: The image directory was reorganized with subfolders based on file type and all files were restructured into a new folder systemβββββChapter 19: AI for Good: The image folder was reorganized with subfolders based on filetype and all files were restructured into a new folder systemβββββChapter 3: DL Primer: The image directory has been reorganized with subfolders based on file type and all files have been restructured into a new folder systemβββββChapter 9: Efficient AI: The image folder was reorganized with subfolders by file type and all files were restructured into a new folder systemβββββEmbedded Sys: The image folder now has subfolders based on file type and all files have been reorganized into a new folder structureβββββChapter 7: AI Frameworks: The images folder was reorganized with subfolders based on file type, and all files were restructured into a more organized folder systemβββββChapter 11: AI Acceleration: The images folder has been reorganized with subfolders based on file type and all files have been restructured into a more organized folder systemβββββLab: Arduino Image Classification: The image classification lab now has subfolders within the images/ directory and its files are reorganized into a more structured formatβββββKws Feature Eng: The images folder has been reorganized with subfolders based on file type and all files have been restructured into a new folder systemβββββKws Nicla: The image directory was reorganized with subfolders based on file type and all files were restructured into a more organized folder systemβββββObject Detection Fomo: The image directory was reorganized with subfolders based on file type and all files were restructured into a more organized folder systemβββββChapter 14: On-Device Learning: The image folder was reorganized with subfolders based on file type and all files were restructured into a new folder systemβββββChapter 13: ML Operations: The image directory was reorganized with subfolders based on file type, and all files were restructured into a more organized folder systemβββββChapter 10: Model Optimizations: The image directory was reorganized with subfolders based on file type and all files were restructured into a new folder systemβββββChapter 15: Security & Privacy: The image folder was reorganized with subfolders based on file type and all files were reorganized into a new folder structureβββββChapter 17: Sustainable AI: The image directory has been reorganized with subfolders by file type and all files have been restructured into a new folder systemβββββChapter 8: AI Training: The images folder was restructured with subfolders based on file type and all files were reorganized into a new folder structureβββββChapter 5: AI Workflow: The images directory was reorganized with subfolders based on file type, and all files were restructured into a more organized folder systemβββββChapter 18: Robust AI: Files have been reorganized into a folder structure