From Fully Connected 2023
Join Stella Binderman, Executive Director of EleutherAI and Head of Interpretability Research, as she delves into how interpretability research can help build better large language models.
EleutherAI is a non-profit research institute known for its open-source work on datasets like the Pile, large language models such as GPT-J and GPT-NeoX, and the VQGAN-CLIP text-to-image synthesis technique.
In this insightful talk, Stella covers three case studies: debiasing large language models, improving rare fact learning, and defending APIs and apps against attacks. Discover how interpretability research can lead to the development of more desirable language models and applications.
Негізгі бет Ғылым және технология How Interpretability Research Helps Build Better Models
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