AI Fine-Tuning 2026
TL;DR. Fine-tuning a model means updating its weights on your own data so it learns your domain, tone, or task format — not just general knowledge. LoRA and QLoRA make this cheap enough for solo developers. Whether you need fine-tuning at all depends on your use case; often good prompting or RAG is the right answer first. When Fine-Tuning Actually Makes Sense Most teams jump to fine-tuning before…