RAG Frameworks in AI: Open-Source Solutions for More Efficient Models
The concept of Retrieval-Augmented Generation (RAG) has brought about a significant transformation in the way artificial intelligence (AI), particularly large language models (LLMs), function. The primary goal of RAG frameworks is to address some of the key limitations of standalone LLMs, such as hallucinations, limited memory, and outdated knowledge. By augmenting the generation process with […]
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