Nobody is expecting you to be able to derive and write automatic differentiation (AD) library from scratch but it's always good to know the fundamentals [1]. A

Nobody is expecting you to be able to derive and write automatic differentiation (AD) library from scratch but it's always good to know the fundamentals [1]. Andriy Burkov has written excellent trilogy books series on AI/LLMs namely "The Hundred-Page Machine Learning Book" and "Machine Learning Engineering" and the latest "The Hundred-Page Language Models Book" [2],[3],[4]. Having said that, the capability of providing useful AI/LLMs solutions for intuitive and interactive learning environment, training portal, standards documentation exploration, business and industry rules and regulations checking, etc based on the open-source local-first data repository with AI/LLMs are probably the killer application that're truly useful for end users, for examples here [5],[6]. [1] Automatic differentiation: https://en.wikipedia.org/wiki/Automatic_differentiation https://en.wikipedia.org/wiki/Automatic_differentiation [2] The Hundred-Page Machine Learning Book: https://www.themlbook.com/ https://www.themlbook.com/ [3] Machine Learning Engineering: https://www.mlebook.com/wiki/doku.php https://www.mlebook.com/wiki/doku.php [4] The Hundred-page Language Models Book https://www.thelmbook.com/ https://www.thelmbook.com/ [5] Local-first software: You own your data, in spite of the cloud: https://www.inkandswitch.com/essay/local-first/ https://www.inkandswitch.com/essay/local-first/ [6] AI-driven chat system designed to support students in the Introduction to Computing course (ECE 120) at UIUC, offering assistance with course content, homework, or troubleshooting common problems. It serves as an educational aid integrated into the course’s learning environment: https://www.uiuc.chat/ece120/chat https://www.uiuc.chat/ece120/chat