Cover Image for 🦄 ai that works: large scale classification
Cover Image for 🦄 ai that works: large scale classification
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We make BAML, a programming language for using LLMs. Some event recordings are available here: https://github.com/hellovai/ai-that-works

🦄 ai that works: large scale classification

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🦄 ai that works

A weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy

https://www.github.com/hellovai/ai-that-works

​LLMs are great at classification from 5, 10, maybe even 50 categories. But how do we deal with situations when we have over 1000? Perhaps its an ever changing list of categories?

This week, join Dex and Vaibhav as they deep dive into multiple techniques to approach this problem.

Pre-reading

To prevent repeating the basics, we recommend you come in having already understanding some of the tooling we will be using:

  • Discord

  • Cursor (A vscode replacement)

  • Programming languages

    • Application Logic: Python or Typescript or Go

    • Prompting: BAML (recommend video)

Meet the Speaker 🧑‍💻

​​Meet Vaibhav Gupta, one of the creators of BAML and YC alum. He spent 10 years in AI performance optimization at places like Google, Microsoft, and D. E. Shaw. He loves diving deep and chatting about anything related to Gen AI and Computer Vision! 

Meet Dex Horothy, founder at Human Layer - a YC company. He spent 10+ years building devops tools at Replicated, Sprout Social and JPL. DevOps junkie turned AI Engineer.

Avatar for Boundary
Presented by
Boundary
We make BAML, a programming language for using LLMs. Some event recordings are available here: https://github.com/hellovai/ai-that-works