Embeddings and Retrieval for LLMs: Techniques and Challenges // Anton Troynikov // LLMs in Prod Con

This portion is sponsored by Chroma.
Website: docs.trychroma.com/
Chroma is the open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
//Abstract
Retrieval augmented generation with embeddings and LLMs has become an important workflow for AI applications.
While embedding-based retrieval is very powerful for applications like 'chat with my documents', users and developers should be aware of key limitations, and techniques to mitigate them.
//Bio
Anton Troynikov is the cofounder of Chroma, an open source embedding store built for AI applications. Previously, Anton worked on robotics with a focus on 3D computer vision. He does not believe AI is going to kill us all.

[@kevon217]

Loved the talk and details on vector dbs.

[@kevon217]

Also, love the hat.

[@venk8t]

Loving the presentation, but hate the border. The border occupy most part of the screen and it is hard to see the presentation slides.
Also hate the placement adz

[@MLOps]

nobody forcing you to watch free content