What is Fine-tuning?
Adapting a pre-trained AI model to perform better on a specific task by training it on additional specialised data.
Why It Matters
Fine-tuning lets you customise general-purpose AI models for your specific business needs without building from scratch.
Real-World Example
Fine-tuning a language model on medical texts so it better understands healthcare terminology.
“Understanding terms like Fine-tuning matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transfer Learning
Using knowledge gained from one task to improve performance on a different but related task.
Training Data
The dataset used to teach an AI model patterns and knowledge during its initial training.
Instruction Tuning
Training an AI model to follow specific instructions by providing examples of instruction-response pairs.
From definition to deployment
Knowing the term is step one. Using it in something real is the rest.