Techniques
Fine-tuning
Also known as: finetuning, fine tuning
In one line
Training an existing model further on your own examples to change how it behaves.
What does Fine-tuning mean?
Fine-tuning updates a base model's weights using domain-specific examples. It's useful for style, tone, or narrow tasks — but for most businesses, RAG plus good prompts is cheaper and easier.
A real-world example
Fine-tuning GPT-4o on 500 of your best sales emails so it writes in your voice.
Related terms
Large Language Model (LLM)
A neural network trained on huge text collections to predict the next word — the engine behind ChatGPT, Claude and Gemini.
Prompt Engineering
The craft of writing prompts that get accurate, useful answers from AI.
Retrieval-Augmented Generation (RAG)
A technique where the AI looks things up in your documents before answering.
Training
The expensive process of teaching a model by adjusting its weights on huge amounts of data.