Technology
What does Fine-Tuning mean?
Fine-tuning means further training an already trained model with additional, task-specific data. This lets it learn, for example, a company's tone of voice or a specialised vocabulary.
Fine-tuning is not always necessary: well-designed prompts combined with RAG often reach the same goal more cheaply and flexibly. It becomes worthwhile mainly for clearly defined, recurring tasks with enough training data.
Related terms
Prompt
The instruction or question that directs a language model toward a task.
Large Language Model (LLM)
An AI model trained on large amounts of text that understands and generates language.
Retrieval-Augmented Generation (RAG)
A method where a model retrieves relevant documents before answering and grounds its response in them.
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