Composer uses reinforcement learning for self-summarization

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We trained Composer to self-summarize through RL instead of a prompt. This reduces the error from compaction by 50% and allows Composer to succeed on challenging coding tasks requiring hundreds of actions.

Topics

reinforcement learning machine learning model training neural networks software engineering programming ai research algorithm optimization

Topics

reinforcement learning machine learning model training neural networks software engineering programming ai research algorithm optimization

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