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Session brief

The Hidden Life of Embeddings: Linus Lee

Research 18 min

Overview

This talk explores the concept of latent spaces within AI models, particularly focusing on embeddings, as a means to gain more direct control and understanding of model behavior. Instead of relying solely on indirect prompting, the speaker advocates for interacting with the internal representations of models to achieve more precise manipulation and insight into their decision-making processes.

Who should watch

Key takeaways

Notable quotes

*Prompting language models feels a lot like you're steering a car from the back seat with a pool noodle.*
*The purpose of a thinking medium is to bring thought outside the head to represent these Concepts in a form that can be seen with the senses and manipulate with the body.*

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Unofficial community note. Prefer the recording for nuance.