Fine-Tuned Models
Definition
A fine-tuned model is a base AI model further trained on an organisation's own examples, so it answers in the business's patterns, vocabulary and judgement. Done on an owned substrate, it is proprietary intelligence: an asset the company holds rather than a capability it rents.
Fine-tuning is not the first move, and vendors who lead with it are usually selling the expensive thing rather than the right one. Most needs are met by a strong base model plus well-engineered context. Fine-tuning earns its place when the task is narrow, high-volume and pattern-heavy: then a smaller tuned model can answer better, faster and cheaper than a frontier one.
The strategic point is whose asset it becomes. Tuned on data curated in your own knowledge graph, the model is yours: it appears on your side of the ledger and compounds with every correction. That is the Custom Intelligence stage of the AIOS, and the reason the infrastructure comes first.
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