Fine-Tuning
Continuing to train a base model on your own examples to specialize its behavior.
/ quick answer
Fine-Tuning adjusts a pretrained model's weights using a curated dataset so it follows a specific style, format, or task more reliably than prompting alone. It is most valuable when you need consistent tone, strict output schemas, or to compress a long system prompt.
/ frequently asked
What is Fine-Tuning?
Fine-Tuning adjusts a pretrained model's weights using a curated dataset so it follows a specific style, format, or task more reliably than prompting alone. It is most valuable when you need consistent tone, strict output schemas, or to compress a long system prompt.
What is an example of Fine-Tuning?
An e-commerce brand fine-tunes a small model on 5,000 of their best support replies, then runs it for first-line triage — keeping voice and policy consistent without a 3,000-token system prompt.
Why does Fine-Tuning matter?
Continuing to train a base model on your own examples to specialize its behavior.
What should I learn after Fine-Tuning?
Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Context Window
The maximum amount of text (in tokens) an LLM can consider in a single call.
- →Multimodal AI
Models that natively process more than one input type — text, images, audio, or video.
- →RLHF
Reinforcement learning from human feedback, the alignment technique behind ChatGPT.
- →DPO (Direct Preference Optimization)
A simpler alternative to RLHF that skips the reward model.
Related workflows
Turn this into a repeatable process.
- →AI Customer Onboarding Flow
Walk every new user through activation with an AI guide.
- →How to Create a Website with AI
Go from idea to a live, custom-domain website in one afternoon using AI builders.
- →How to Build an AI Content System
A repeatable pipeline that turns one input into publish-ready content across every channel.
- →How to Start a Niche Website with AI
Pick a niche, validate demand, build the site, and publish ranking content using AI end-to-end.
Related tool stacks
The tools that run it in production.
- →RAG Starter Stack
Minimum viable stack to ship a production RAG chatbot.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Comparisons & alternatives
Pick between the options.
- →OpenAI API vs Anthropic API
Choosing between the two leading LLM API providers for production apps.
- →OpenAI vs Gemini for Agent Building
Both ship strong models and SDKs — differences are in tool calling, context and pricing.
- →Claude vs GPT vs Gemini
The three frontier model families, side by side.
- →Claude Sonnet vs Opus
When to spend up within the Claude family.