刚刚,刘强东又出手了

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Repo Structure and Code Reuse

大模型是目前智能体大脑的最优选择,因为大模型的万亿参数压缩了人类积累的海量知识,拥有强大的模式识别和生成能力,是处理包括语言在内的多种非结构化数据的万能接口,拥有不错的泛化能力构成处理各类任务的基础。而以OpenAI o1/DeepSeek R1为代表的新一代推理模型为智能体的发展进一步助推:加强的推理能力带来更强的任务分解和规划,更好地自检和纠错,也令智能体对工具的使用可以更加准确。

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At some point I realized the scope was too large. I had spent the most time with msdfgen and hadn’t yet learned enough about the other libraries to write a proper guide. They all worked differently. I kept getting stuck. So I reduced the scope. In redesign 2 I decided to only use msdfgen, but show the various tradeoffs involved (atlas size, antialias width, shader derivatives, smoothing function).