Evaluation Framework

FaaF: A Custom Fact Recall Evaluation Framework for RAG Systems

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FaaF: A Custom Fact Recall Evaluation Framework for RAG Systems

Source: DeepHub IMBA This article is about 1000 words long and is recommended to read in 5 minutes. When real information exceeds a few words, the chance of exact matching becomes too slim. In RAG systems, actual fact recall evaluation may face the following issues: There has not been much attention paid to automatically verifying … Read more

MedGPT: Demonstrating Excellent Medical Performance Based on RAG Evaluation Framework

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MedGPT: Demonstrating Excellent Medical Performance Based on RAG Evaluation Framework

The Retrieval-Augmented Generation (RAG) technology is revolutionizing the AI application field by integrating external knowledge bases with internal knowledge of LLM (Large Language Model), enhancing the accuracy and reliability of AI systems. The knowledge “recall ability” of the multimodal knowledge extractor directly determines whether the large model can obtain accurate professional knowledge when answering reasoning … Read more