retrieval

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

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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 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

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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 authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. RAG achieves this enhancement without retraining the model, making … Read more

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

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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 using NVMe over Fabrics (NVMe-oF). This is an advancement of IBM’s GPFS file system, which allows servers to operate in parallel, speeding up file reads and writes. Frank Kraemer, an IBM IT … Read more