Some people adopt this convention: Preface the generated text with a short human blurb that gives some framing and implicitly endorses the summary as accurate. For instance, if an agent generates a blurb starting with # Summary, you might rename it # Agent Summary and add your own note above it to explain e.g. the motivation, key decisions, and any next steps. Conveniently, most agents create PRs in a Draft state, so the edit can be performed as we mark it Ready for Review.
After a few iterations, I reduced the entire problem to a single loop and a tiny state machine. At the core, a voice agent only needs to answer one question: is the user speaking, or listening?
。电影是该领域的重要参考
10 study presets,详情可参考体育直播
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