Arize Community Paper Reading: Self-Adapting Language Models
Автор: Arize AI
Загружено: 2025-07-02
Просмотров: 600
Описание:
Large language models are powerful, but static. What if they could rewrite themselves? This is a discussion with Adam Zweiger and Jyo Pari of MIT, two authors of Self-Adapting LLMs (SEAL)—a new framework that enables LLMs to generate their own fine tuning data and optimization strategies to persistently adapt their weights.
Our hosts, Dylan Couzon and Parth Shisode, will walk through the core ideas behind SEAL, from self-edit generation to reinforcement learning-based training, and dig into how this approach challenges traditional fine-tuning pipelines.
Paper: https://arxiv.org/abs/2506.10943
Website & Code: https://jyopari.github.io/posts/seal
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