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提示工程 Prompt Collection

Prompt engineering is less about phrasing and more about turning a task into something a model can execute consistently: role and context, output contract, constraints, and defined behaviour when information is missing. Prompts here follow that structure so results stay comparable across models.

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TextAI Agents

Legendary Leaks - Grimoire - Part 9: Book of Life

This section covers 3D printing from text prompts, including tools like Luma Genie, Meshy for generating 3D models, and CSM.ai for converting images into 3D assets. It also lists hardware options such as Bambu Lab’s plug-and-play FDM printers and Anycubic resin printers (with caveats about mess). A hack suggests using low-poly techniques via lowpoly3d.xyz to reduce AI-generated artifacts. Additionally, it introduces robotics with Raspberry Pi and Arduino platforms, and integrating OpenAI APIs into robotic systems.

Is prompt engineering the same as writing good prompts?

Not quite. Writing a prompt produces one instruction; engineering focuses on reusability and evaluation — whether the same template still holds up on new models and new data.

Do structured prompts have to be long?

No, but they usually pin down three things: task boundary, output format, and success criteria. Omitting all three tends to require follow-up turns.

How do I tell if a prompt is worth reusing?

Run it on a different batch. If it needs heavy manual repair each time, it succeeded once by accident.

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