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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.
Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
By Arize AI5
1313 ratings
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.
Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

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