A curated library of the best AI learning resources—courses, tutorials, docs, and talks on agentic AI, MCP, Agent Skills, RAG, machine learning, fine-tuning, models, and frameworks, for AI engineers and technical teams.
Kaplan vs. Chinchilla, data-limited scaling and the practical traps of fitting scaling laws, in one careful review
The six building blocks behind Claude Code-style coding agents, with a pure-Python reference implementation you can run locally
Answers to 60+ practical questions on evaluating LLM apps, from error analysis and LLM judges to agent and RAG evals
A short video course on using Google's open-source Gemini CLI agent for coding, data analysis and content work from the terminal.
The design, threat model and measured error rates of the classifier that decides which Claude Code actions run without asking you.
How 16 Claude agents running in parallel wrote a 100,000-line C compiler in two weeks, and what the harness needed to make that work.
The resources learners opened most this week.
A Harvard graduate course that follows one agent from Claude Code usage and agent design down to KV-cache, quantization and speculative decoding in the serving stack
An open course that takes you from GPU execution basics to a state-of-the-art Blackwell GEMM and a full Flash Attention 4 kernel in TIRx
Free, code-first exercises in mechanistic interpretability, RL for LLMs, Inspect evals and alignment science, from transformers you build yourself to persona vectors
Official docs for running, extending and hacking on Hermes Agent, the MIT-licensed agent that writes and refines its own skills.
A seven-layer map (ETCLOVG) of the infrastructure around an LLM agent, with 138 open-source projects sorted onto it.
Build RAG, agent loops, evals and serving math from raw API calls in free Colab notebooks that run on Groq.
Take a customer-support agent from first run to production with tracing, datasets, LLM-as-judge and online evals.
Why a two-point lead on an agentic coding leaderboard can come from container limits rather than the model.
Three patterns for agents with hundreds of tools: tool search, programmatic tool calling and tool use examples.
A real build log for serving frontier open-weight LLMs at home: budget tiers, 4x RTX PRO 6000, PCIe switches, vLLM and the BIOS/kernel fixes that make P2P work.
Build a complete multi-agent framework from scratch, then use it for workflows, orchestration, computer use, evals and MCP/A2A.
A free 21-lesson, code-first on-ramp from prompts to RAG, function calling, agents and fine-tuning, in Python and TypeScript.
Simon Willison's free, growing guide to getting reliable, reviewable code out of coding agents like Claude Code and OpenAI Codex.
A free, open-source 10-chapter textbook on building AI agents, from context engineering and memory to evals, post-training and multi-agent systems, with runnable Python experiments.
Build and train a ~10M-parameter GPT on your laptop in six guided parts, from tokenizer to text generation
CMU's full-semester generative AI course, from RNN language models to diffusion, MoE, reasoning models and agents
A peer-reviewed map of agentic LLMs organised as reason, act and interact, with a five-point research agenda.
Google's free five-day agents intensive, rebuilt around vibe coding: tools, skills, memory, security and production deployment.