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AI Engineer World's Fair 2024

Talks from AI Engineer World's Fair 2024, drafted from the AI Engineer channel's own playlists. Editorial metadata is best-effort parsed and under review.

99 videos · refreshed 49 minutes ago

Event 1
Track 9
  1. 1

    GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

    277K views 6.7K likes 115 comments

  2. 2

    The Future of Knowledge Assistants: Jerry Liu

    141.9K views 3.4K likes 34 comments

  3. 3

    Low Level Technicals of LLMs: Daniel Han

    55.7K views 2.2K likes 75 comments

  4. 4

    Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou

    53.4K views 1.5K likes 27 comments

  5. 5

    Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel

    50.6K views 1.2K likes 72 comments

  6. 6

    Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney

    49.2K views 1.7K likes 83 comments

  7. 7

    Building with Anthropic Claude: Prompt Workshop with Zack Witten

    39.1K views 977 likes 35 comments

  8. 8

    Using agents to build an agent company: Joao Moura

    38.7K views 1.3K likes 43 comments

  9. 9

    Pydantic is STILL all you need: Jason Liu

    23K views 720 likes 21 comments

  10. 10
  11. 11

    How to Construct Domain Specific LLM Evaluation Systems: Hamel Husain and Emil Sedgh

    20.6K views 571 likes 8 comments

  12. 12

    What's new from Anthropic and what's next: Alex Albert

    20.6K views 451 likes 20 comments

  13. 13

    Build an AI Research Agent: Apoorva Joshi

    18.1K views 494 likes 12 comments

  14. 14

    Moondream: how does a tiny vision model slap so hard? — Vikhyat Korrapati

    18.1K views 563 likes 24 comments

  15. 15

    Going beyond RAG: Extended Mind Transformers - Phoebe Klett

    16.8K views 540 likes 29 comments

  16. 16

    The Making of Devin by Cognition AI: Scott Wu

    15.6K views 286 likes 25 comments

  17. 17

    Lessons From A Year Building With LLMs

    14.6K views 383 likes 9 comments

  18. 18

    Lessons from the Trenches: Building LLM Evals That Work IRL: Aparna Dhinkaran

    14.2K views 348 likes 9 comments

  19. 19

    From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet

    11K views 286 likes 15 comments

  20. 20

    AI Platform Engineering: Patrick Debois

    9.8K views 211 likes 2 comments

  21. 21

    From Software Developer to AI Engineer: Antje Barth

    9.5K views 208 likes 6 comments

  22. 22

    10x Development: LLMs For the working Programmer - Manuel Odendahl

    9.3K views 197 likes 11 comments

  23. 23

    Why Eval++ Is the Next Great Compute Primitive — Sunil Pai & Matt Carey, Cloudflare

    9.3K views 178 likes 14 comments

  24. 24

    Open Challenges for AI Engineering: Simon Willison

    8.9K views 257 likes 12 comments

  25. 25

    Architecting and Testing Controllable Agents: Lance Martin

    8.7K views 234 likes 11 comments