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Intel Labs has introduced RAG Foundry, an open-source Python framework designed to enhance large language models (LLMs) for retrieval-augmented generation (RAG) use cases. This framework aims to streamline the development of RAG systems by integrating processes such as data creation, training, inference, and evaluation. RAG Foundry is expected to improve model performance on knowledge-intensive tasks by providing a flexible and extensible platform for comprehensive RAG system development.
Intel Labs Introduce RAG Foundry: An Open-Source Python Framework for Augmenting Large Language Models LLMs for RAG Use Cases https://t.co/VYSK3yNDBh #RAGFoundry #IntelLabs #RetrievalAugmentedGeneration #AI #OpenSource #ai #news #llm #ml #research #ainews #innovation #artific… https://t.co/5meZC9jz2e
Intel Labs Introduce RAG Foundry: An Open-Source Python Framework for Augmenting Large Language Models LLMs for RAG Use Cases Intel Labs introduces RAG Foundry built upon these contributions, providing a flexible, extensible framework for comprehensive RAG system development and… https://t.co/Mvjl9NY53q
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation https://t.co/MxdcqZLsLz https://t.co/0ihSIaWBvu
