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Nicky Rivera

RAG vs Fine-Tuning

Big language models (like ChatGPT, Gemini) are very smart. But they don’t know everything, and they don’t always stay up to date. That’s why people use two main tricks to make them better: RAG (Retrieval-Augmented Generation) → like giving the model a library card. It can go read fresh documents before answering. Fine-Tuning (FT) → like training the model in school. It learns a subject deeply, so it can answer in a certain way every time.

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