Over the summer, @sh_reya and I hosted 13 sessions on AI Engineering topics like retrieval, post-training, inference, and evals. I've summarized all the sessions, organized by theme, with links to the source materials. Warning: I've tried to pull the most important ideas from each talk, so some notes are short (9.5 hours of sessions comes out to about 20 minutes of reading). Enjoy! hamel.dev/notes/llm/ai-produ…