Exploring Reinforcement Learning and Synthetic Data Generation

The authors of the new paper *Self-Adapting Language Models (SEAL)* shared a behind-the-scenes look at their work, motivations, results, and future directions.

The paper introduces a novel method for enabling large language models (LLMs) to adapt their own weights using self-generated data and training directives — “self-edits.”

Learn more about the Self-Adapting Language Models paper.

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