---
title: "Fine-tuning"
description: "Fine-tuning further trains a pre-trained language model on your own examples so it adapts to a specific tone, format or task."
canonical: "https://www.whatsnext-ai.com/glossary/fine-tuning"
---

# Fine-tuning

Fine-tuning further trains a pre-trained language model on your own examples so it adapts to a specific tone, format or task.

## Definition

It’s powerful but not always the right tool. For most business cases, retrieval (RAG) and good prompting get you further, faster, and stay current as your data changes. Fine-tuning earns its place when you need consistent style, a narrow specialised task, or lower latency and cost at scale.

## Related

- [Custom AI Development](https://www.whatsnext-ai.com/custom-ai-development)
- [AI Consultancy](https://www.whatsnext-ai.com/ai-consultancy)

## Source

Google Machine Learning Glossary (https://developers.google.com/machine-learning/glossary)
