Large Language Models (LLMs) › Fine-Tuning LLMs

What are best practices for Fine-Tuning LLMs

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Answer

When working with Fine-Tuning LLMs, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.

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

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