https://ift.tt/ba46rT8 RAG, or Retrieval-Augmented Generation, has received widespread acceptance when it comes to reducing model hallucina...
RAG, or Retrieval-Augmented Generation, has received widespread acceptance when it comes to reducing model hallucinations and enhancing the domain-specific knowledge base of large language models (LLMs). Corroborating information produced by an LLM with external data sources has helped keep the model outputs fresh and authentic. However, recent findings in a RAG system have underscored the […]
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