model fine tuning for behavior

1 articles · 5 co-occurring · 0 contradictions · 0 briefs

RL fine-tuning teaches the model to recursively call itself. This shows that architectural behaviors can be learned rather than hard-coded, enabling emergent multi-step reasoning.

Related concepts

multi agent orchestration 1 model selection strategy 1 long context reasoning 1 inference optimization 1 context window management 1

Evidence chain (1 articles, showing 1)

@a1zhang: Some awesome initial experiments on training small RLMs :) supports

RL fine-tuning teaches the model to recursively call itself. This shows that architectural behaviors can be learned rather than hard-coded, enabling emergent multi-step reasoning.

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