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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.
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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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