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Researchers at the Hebrew University of Jerusalem recently discovered that in Retrieval Augmented Generation (RAG) systems, the number of documents processed significantly impacts language model performance, even when the total text length remains constant. The research team conducted experiments using 2,417 questions from the MuSiQue validation dataset, each linked to 20 Wikipedia paragraphs. Two to four paragraphs contained relevant answer information, with the remaining paragraphs serving as distractors. To study the impact of the number of documents, the team created multiple data partitions, progressively reducing the number of documents from 20 to...

AMD recently announced GAIA, an open-source application designed to provide a highly efficient and localized method for running Large Language Models (LLMs). Currently supporting Windows and optimized for Ryzen AI 300 series processors, GAIA leverages the strengths of these processors for AI tasks. GAIA is a generative AI application enabling private LLM execution on personal computers, ensuring data privacy. Furthermore, GAIA utilizes...

Alibaba Tongyi Lab has open-sourced ViDoRAG, a novel visual document retrieval and question answering system. ViDoRAG boasts impressive accuracy, achieving a remarkable 79.4% in benchmark tests. This system represents a significant advancement in the field of computer vision and information retrieval.