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Home > This Week in Machine Learning & Artificial Intelligence (AI) Podcast > Localizing and Editing Knowledge in LLMs with Peter Hase - #679
Podcast: This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Episode:

Localizing and Editing Knowledge in LLMs with Peter Hase - #679

Category: Technology
Duration: 00:49:46
Publish Date: 2024-04-08 21:03:00
Description:

Today we're joined by Peter Hase, a fifth-year PhD student at the University of North Carolina NLP lab. We discuss "scalable oversight", and the importance of developing a deeper understanding of how large neural networks make decisions. We learn how matrices are probed by interpretability researchers, and explore the two schools of thought regarding how LLMs store knowledge. Finally, we discuss the importance of deleting sensitive information from model weights, and how "easy-to-hard generalization" could increase the risk of releasing open-source foundation models.


The complete show notes for this episode can be found at twimlai.com/go/679.

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