owainlewis/awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. Awesome Artificial Intelligence A curated collection of must-use, actively maintained resources for building and shipping AI systems. Focus: AI engineering (RAG, agents, evals, guardrails, deploy) plus the best books, guides, papers, and a carefully selected set of tools. 📚 Learn Deep, durable knowledge — still valuable five years from now. Books Modern & Practical Designing Machine Learning Systems — Scalable, maintainable ML pipelines (Chip Huyen). AI Engineering — End-to-end AI product building (Chip Huyen). Build a Large Language Model from Scratch — Transformers in raw PyTorch, layer by layer (Sebastian Raschka). Hands-On Large Language Models — Visual + practical guide to LLM applications (Jay Alammar, Maarten Grootendorst). LLM Engineer's Handbook — Production LLMOps: fine-tuning, quantization, serving (Labonne, Iusztin). The 100-Page Language Models Book — Concise, math-grounded path from n-grams to transformers (Andriy Burkov). Generative Deep Learning (2nd Edition) — GANs, VAEs, diffusion models (David Foster). Foundational Artificial Intelligence: A Modern Approach — The canonical…

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