Retrieval-Augmented Generation (RAG) merges LLMs with retrieval systems to boost output quality. Fine-tuning LLMs tailors them to specific needs on given datasets.
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Fine-tuning Large Language Models (LLMs) involves adjusting pre-trained models on specific datasets to enhance performance for particular tasks.