Google 将 AppFunctions 类比为 Android 的「模型上下文协议」（MCP），可以简单理解为一个对话标准，帮助第三方的 App 应用和 AI 模型进行对接。
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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“金属打印只是完成了坯件，真正的‘绣花’功夫主要在后面。”云耀深维创始人沈李耀威向硬氪透露。精度不足带来的连锁反应，是较长且较高成本的后处理流程，这被业界视为一个巨大的“隐形成本黑洞”。，推荐阅读91视频获取更多信息
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