blib-la/lingo
Amplifying LLMs with a versatile, extensible pseudo language for precise and contextually relevant outputs.
This project helps anyone working with Large Language Models (LLMs) to get more precise and relevant responses. You provide your prompts and desired output structure using a simple pseudo-language, and the LLM delivers results that adhere to your specific rules and expectations. This is ideal for developers, researchers, or anyone building applications that rely on consistent LLM outputs.
No commits in the last 6 months.
Use this if you need to guide LLMs to produce highly structured, accurate, and contextually appropriate text, code, or data that aligns perfectly with your requirements.
Not ideal if you are simply experimenting with open-ended LLM conversations and do not require strict output formatting or constraint enforcement.
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License
AGPL-3.0
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Last pushed
May 09, 2023
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