An Open Course on LLMs, Led by Practitioners

What it can do

• Teach LLM evaluation techniques through practitioner-led workshops

  Learner with basic LLM familiarity selecting the evals topic area → Video talks, notes, and resources on building and running LLM evals

• Explain retrieval-augmented generation (RAG) methods from information retrieval experts

  Learner selecting the RAG subject area → Workshops and annotated resources on applying RAG to AI products

• Provide fine-tuning instruction for LLMs

  Learner interested in fine-tuning (optionally completing the Instruction Tuning llama2 tutorial) → Talks, slides, and tutorials on fine-tuning models

• Organize 40+ hours of content by subject area for navigation

  Full course catalog of talks and workshops → Content grouped into evals, RAG, fine-tuning, building applications, and prompt engineering

• Summarize each talk to enable skimming and skipping

  Individual course talks → Chapter summaries listing topics covered in each talk

• Supply supplementary learning materials for talks

  A selected talk or workshop → Slides, detailed notes, and links to additional resources

• Recommend prerequisite learning for beginners

  Learner without prior LLM experience → Suggested resources such as 'A Hacker's Guide to LLMs'

Why it made the leaderboard

A free, well-organized 40+ hour course distilled from a popular paid program, with annotated talks and notes from practitioners across evals, RAG, and fine-tuning — a fast way to level up on shipping real LLM products rather than toy demos.

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