微软用Markdown文件让GPT-5.5涨23分
微软与三所中国大学联合开发了SkillOpt方法,通过优化AI智能体的指令文档来提升性能。该方法仅需一个经过训练的Markdown文件,就能让GPT-5.5在程序性任务上提升约23个基准点。该文件还能跨模型和智能体环境迁移,如Codex和Claude Code。
Microsoft's SkillOpt boosts GPT-5.5 by using nothing but a trained Markdown file
Microsoft and three Chinese universities have developed SkillOpt, a method that optimizes instruction documents for AI agents using principles from traditional model training. A simple Markdown file is enough to boost GPT-5.5 by about 23 points on procedural tasks, and the same file transfers across models and agent environments like Codex and Claude Code. The article Microsoft's SkillOpt boosts GPT-5.5 by using nothing but a trained Markdown file appeared first on The Decoder .