A common AI concept, explained without the hype.
5 min read · Skill IT Education
It further trains a pre-trained model on your specific data, adjusting its internal weights to change how it behaves — distinct from prompting, which works within a model's existing, unchanged weights.
When you need consistent behavior — a specific tone, a specialized reasoning pattern — that careful prompting alone can't reliably achieve across many interactions.
For most applications, well-designed prompting and RAG solve the problem more simply and cheaply than fine-tuning, which requires more data, compute, and ongoing maintenance.
This article is the short version. The full program covers it hands-on, in labs, with a mentor reviewing your work.
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