GPT-5 Fine-Tuning Available
Narrative
Custom fine-tuning for GPT-5. Domain specialization. Style adaptation. Performance optimization. Enterprise pricing.
Reality
Fine-tuning delivers 15-30% task-specific improvement. Training cost $50-500 depending on dataset size. Inference cost same as base model. Quality control required. Enterprise adoption strong.
Implication
Enabled GPT-5 specialization. Custom models economically viable. Domain expertise bottleneck addressed. But data requirements significant. Quality vs generic tradeoff real.