experience-guided-reasoning-adaptation

【效率与协作】Dynamically adapt LLM reasoning strategies at inference time by curating episodic memory of past problem solutions—generate task-specific prompts, tool configs, and control logic for up to 111× cost reduction and 14% accuracy gains.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准