| | | | Shivani Virdi, Kate, and gor posted new notes | |  | | | | I taught myself GenAI from scratch, and it made me the go-to AI expert in my org at Microsoft, and these are my favourite resources to set you up on the same path 5 Books ↳ Designing Machine Learning Systems – Chip Huyen Great for: ML system design tradeoffs. https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/9355422679 ↳ Building LLMs for Production – Bouchard & Peters Great for: Real-world LLM deployment. https://www.amazon.com/Building-LLMs-Production-Reliability-Fine-Tuning/dp/B0D4FFPFW8/ ↳ Build a LLM (From Scratch) – Sebastian Raschka Great for: Understanding LLM internals. https://www.amazon.com/Build-Large-Language-Model-Scratch/dp/1633437167/ ↳ The LLM Engineering Handbook – Iusztin & Labonne Great for: Modular, scalable GenAI systems. https://www.amazon.com/LLM-Engineers-Handbook-engineering-production/dp/1836200072/ ↳ AI Engineering – Chip Huyen Great for: Model serving & product constraints. https://www.amazon.com/AI-Engineering-Building-Applications-Foundation/dp/1098166302 5 GitHub Repos ↳ Karpathy’s Neural Networks: Zero to Hero https://github.com/karpathy/nn-zero-to-hero ↳ Start Machine Learning by Louis-François… | | Read More %26strokeWidth%3D2) |
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| |  | | | | Dear algorithm gods, Please connect me with people who care about slow living, self-awareness, personal growth, tiny rituals, and honest… | | Read More |
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| |  | | | | i think we were meant to live slower than this. to grow tomatoes. to take afternoon walks. to cry without apologizing for… | | Read More |
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