// 00Tag · fine-tuning

#fine-tuning

3 posts

Fine-tuning: when tuning a model makes sense and when RAG is enough. Cost, style control and pitfalls — without dogma.

17/06/2026

LoRA and QLoRA fine-tuning in practice — when, how, and how much

LoRA and QLoRA fine-tuning in 2026: hardware requirements, dataset size, workflow from data to adapter deployment, and realistic cost ranges. Check if it's the right decision.

01/06/2026

When fine-tuning makes sense (and when RAG is enough)

When fine-tuning makes sense: selection criteria, costs, and pitfalls. When RAG solves the problem cheaper, and when model training is the only way.

01/06/2026

RAG vs fine-tuning: how to give a model your company’s knowledge

Two paths to a model that knows your business. When RAG is enough, when fine-tuning is needed—and why RAG is usually the answer.

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