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Editar Pregunta #408
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A company has implemented a large language model (LLM) solution by using a pre-trained model. The company needs to ensure that the model's responses are transparent and accurate. The company wants to ground the model's responses in factual information from the company's authoritative data sources. Which technique should the company use to meet these requirements?
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Retrieval Augmented Generation (RAG) grounds LLM responses in factual information from authoritative data sources by retrieving relevant content at query time and including it in the prompt context. This ensures responses are transparent, accurate, and based on the company's verified data sources.
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