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Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs – MarkTechPost

Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs  MarkTechPost Article Source https://www.marktechpost.com/2024/10/11/google-ai-researchers-propose-astute-rag-a-novel-rag-approach-to-deal-with-the-imperfect-retrieval-augmentation-and-knowledge-conflicts-of-llms/

Assess the dependability of Retrieval Augmented Generation apps with Amazon Bedrock on Amazon Web Services

Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference...

IBM introduces Hyperstore for accelerated remote data retrieval through NVMe-oF in Storage Scale – Blocks and Files

IBM is developing a new feature called Hyperstore within its Storage Scale system to improve the speed of accessing data from remote drives...
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