Llama-3-Patronus-Lynx-8B-Instruct
Open Source Illusion Assessment Model
Product Details
Llama-3-Patronus-Lynx-8B-Instruct is a fine-tuned version based on the meta-llama/Meta-Llama-3-8B-Instruct model developed by Patronus AI, mainly used to detect hallucinations in RAG settings. The model is trained on multiple data sets including CovidQA, PubmedQA, DROP, RAGTruth, etc., including manual annotation and synthetic data. It evaluates whether a given document, question, and answer is faithful to the document content, does not provide new information outside the document, and does not contradict the document information.
Main Features
How to Use
Target Users
The target audience is researchers, developers and enterprises, who need a model that can evaluate and detect the authenticity of AI-generated content, especially in application scenarios where information accuracy needs to be ensured, such as medical, financial and academic research fields.
Examples
The researchers used the model to assess the veracity of answers in the medical literature.
Financial analysts use models to check whether the information in financial reports is accurate.
Academic institutions use models to validate data and conclusions in academic research.
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