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AWS Certified AI Practitioner · AWS
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C is the correct answer
Retrieval Augmented Generation (RAG) is a technique that combines the power of pre-trained large language models (LLMs) with a retrieval mechanism to fetch relevant documents or data (like the company’s policies) and incorporate them into the response generation process. This approach allows the model to produce accurate, context-aware responses without the need to retrain or fine-tune the model extensively on the entire policy dataset, making it a cost-effective and efficient solution.
RAG provides most cost-effective solution