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    Both RAG and LLM fine-tuning allow institutions to enhance their LLMs, but in different ways. Fine-tuning modifies an LLM’s internal parameters using additional training data. RAG, on the other hand, supplements the model’s internal memory with non-parametric data retrieved from external sources.

     

    I still remember watching the 2023 FIBA matches with my colleagues, and we collectively gasped when Latvia defeated France in their opening game. As someone

     


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