微软SkillOpt仅用Markdown文件让GPT-5.5提升23点
Microsoft's SkillOpt boosts GPT-5.5 by using nothing but a trained Markdown file
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 .
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include SkillOpt, GPT-5.5, 微软, 智能体.
Source attribution: curated from Decoder (@Jonathan Kemper).
