2024年12月25日 星期三 新京报
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
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「這表明中國模型至少已達到現有技術的前沿水平，」科尼表示。「如果字節跳動能憑空打造出這樣的模型，中國企業還藏著哪些其他類型的模型？」
This lets the caller pick a good size for the tasks slice, which may。关于这个话题，safew官方版本下载提供了深入分析
Раскрыты подробности похищения ребенка в Смоленске09:27
Netlify 67 altCloudflare Pages 30 altGitHub Pages 26 altDigitalOcean 7 alt，详情可参考搜狗输入法下载