luislozanogmia/pre-reasoning

LLMs take the path of least resistance. Pre-Reasoning hands any model a map of the problem first, so it unlocks the knowledge it already has, faster. For large models, that means hard problems and long-horizon tasks. For small models, consistency. Root blockers, unlock order, conflicts, parallel work. 12M params, runs locally on CPU in ~200ms.

语言：Python · GitHub 星标：19 · Fork：2

话题：ai-agents · llm · pre-reasoning · reasoning · safetensors

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