Model Fine-tuning

Fine-tune models on your own data when prompting alone falls short, for more consistent outputs, lower latency and lower inference costs on high-volume tasks.

✓ Baseline evaluation and feasibility check

✓ Dataset curation and labeling

✓ Fine-tuning runs and comparison

✓ Evaluation against the baseline

✓ Model deployment and monitoring

✓ Retraining guide and 30 days of tuning

Often not. We first test prompting and retrieval against a baseline, and only recommend fine-tuning when it clearly beats them on quality, latency or cost.

Projects start from $9,000, plus compute and hosting costs. Dataset preparation is usually the biggest driver. We send a fixed-price quote within 24 hours.

It varies by task, from a few hundred high-quality examples for formatting to thousands for complex behavior. We assess your data during the feasibility check.

You do. Weights or provider-hosted models live in your account, along with the dataset, training scripts and evaluation results.