RAG vs finetuning: Which is the best tool for optimized LLM performance?
Data Science Dojo
MARCH 20, 2024
By design, RAG leverages external data sources to fetch the latest information, making it inherently adaptable to changes. This quality ensures that responses generated by RAG-powered models remain accurate and relevant, a crucial advantage for applications like real-time news summarization or updating factual content.
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