xlisp/prompt-engineering-design
Prompt engineering design for LLM
This project helps anyone working with Large Language Models (LLMs) to design better prompts, moving beyond simple queries to more structured and reliable interactions. It takes your problem description and desired outcomes, guiding the LLM to produce accurate, contextually relevant, and consistently formatted results. Data scientists, AI engineers, and product managers looking to get the most out of LLMs for specific tasks would find this valuable.
Use this if you need to reliably get specific outputs from an LLM, especially for complex tasks involving multiple steps, code generation, or strict formatting requirements.
Not ideal if you are looking for a simple, one-off conversational interaction or if your problem domain requires fine-tuning an LLM rather than prompt engineering.
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17
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4
Language
Python
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Last pushed
Dec 22, 2025
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