All 7 Fine-Tuning LLMs questions
More in Fine-Tuning LLMs
What is Fine-Tuning LLMs Why is Fine-Tuning LLMs important in Large Language Models (LLMs) What are the key parts or types of Fine-Tuning LLMs What are common mistakes to avoid with Fine-Tuning LLMs What is a real world example of Fine-Tuning LLMs What are best practices for Fine-Tuning LLMs
Advertisement
Back to results for “Tokenization in LLMs”
Large Language Models (LLMs) › Fine-Tuning LLMs

How does Fine-Tuning LLMs work

Beginner

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