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How does Fine-Tuning LLMs work

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Answer

The base model's existing knowledge is kept, but its internal weights are slightly adjusted using new examples so it becomes more accurate for the specific use case.
Real-world example A company fine tunes a general LLM on its own customer support conversations so it can answer product specific questions more accurately.

Common follow-ups: What is Large Language Models (LLMs), How is Fine-Tuning LLMs evaluated in practice, What tools are commonly used for Fine-Tuning LLMs

Large Language Models (LLMs) topics: What Are Large Language Models LLM Architecture Overview Tokenization in LLMs
All 7 Fine-Tuning LLMs questions