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