其次，大模型没有天然的执行能力，需要辅以智能体工程来将意图转化为实际操作。工具调用是当前最主流的方式，大模型根据任务需求，生成结构化的函数调用指令，由智能体框架解析后执行相应操作，比如调用天气API、数据库查询、发送邮件等；另一种方式是模拟人类操作，通过视觉识别和模拟操作来"看屏幕、点按钮、填表单"来完成任务，近期大火的豆包手机就是这样完成智能体操作；对于更复杂的任务，智能体还可以配置代码解释器（Code Interpreter / Sandbox），让模型编程运行，这可以极大的扩展智能体的行动边界。
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How my side project got banned from the internet A little piece about dealing with security providers and clearing my side project's reputation after a false positive flagging.
However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects: