varunshenoy/honestgpt
Grounding LLMs in truth with under 30 lines of code.
This project helps developers build more reliable applications using large language models (LLMs) like GPT-3. It takes a document and a user's question, then produces an accurate summary of the relevant parts of the document with citations. Developers who want to ensure their LLM applications provide factual, verifiable answers grounded in source material, rather than general or potentially incorrect information, would use this.
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Use this if you are a developer looking for concise, factual summaries from documents, ensuring your LLM outputs are directly supported by the provided text with citations.
Not ideal if you need to build a complex conversational agent or require extensive customization beyond grounding LLMs in provided documents.
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Jul 30, 2023
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