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微软SkillOpt：仅用Markdown文件让GPT-5.5性能提升23点
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.
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力