Dataframes Are All You Need: MLOps on Easy Mode

Dataframes Are All You Need: MLOps on Easy Mode

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[] The bare-bones ML Stack

15 of 25

15 of 25

[] The bare-bones ML Stack

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Dataframes Are All You Need: MLOps on Easy Mode

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  1. 1 Join the LLMs in Production Conference Part 2 In Person San Francisco Workshop - Deploy and Scale LLM-based applications today at PM PDT. Location:
  2. 2 [] Introduction to Jay Chia
  3. 3 [] Join the virtual LLMs in Production Conference Part 2 and In Person San Francisco Workshop - Deploy and Scale LLM-based applications today!
  4. 4 [] Dataframes Are All You Need: MLOps on Easy Mode
  5. 5 [] Jay's background
  6. 6 [] Dataframes
  7. 7 [] What is a Dataframe?
  8. 8 [] Different Dataframes
  9. 9 [] Table Stakes
  10. 10 [] Let's talk MLOps
  11. 11 [] "Unstructured" data
  12. 12 [] The bare-bones ML Stack
  13. 13 [] Daft Demo
  14. 14 [] Modern ML requirements
  15. 15 [] The bare-bones ML Stack
  16. 16 [] Daft Roadmap
  17. 17 [] Giving access to the repo notebook
  18. 18 [] Streaming
  19. 19 [] Syntax and library expression
  20. 20 [] S3 bucket and the data frames
  21. 21 [] Trading off latency and throughput in the library
  22. 22 [] Build another data frame Library
  23. 23 [] Daft for Eventual
  24. 24 [] System streaming mode
  25. 25 [] Wrap up

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