私募股权插件支持大批量文件审阅与情景建模，并对投资机会自动打分。
Why? Could we trace embodied behaviors through history just as anthropologists can trace, say, legends or etymologies relating to magical blacksmiths or slaying serpents?
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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.
We do pay the cost for a copy, but that cost is almost completely
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