Evaluation & Benchmarking
Measure your fine-tune against a held-out set with BLEU, ROUGE, faithfulness, and task-specific scoring.
A model that trains cleanly is not the same as a model that ships well. Our evaluation suite scores your fine-tune on the data it has never seen, against the baseline you started with.
We run task-appropriate metrics — BLEU and ROUGE for generation, exact-match and F1 for extraction, faithfulness and safety scoring for assistant-style use cases — and present the results as a side-by-side report.
If the fine-tune does not beat the baseline on the metrics that matter to you, we say so plainly. You should know whether shipping the model is the right call.
More services in this engagement
All services
Dataset Engineering
We turn raw CSV or JSONL exports into clean, deduplicated, schema-validated training corpora ready for fine-tuning.
Custom Model Fine-Tuning
Fine-tune GPT, Claude, Llama, or Mistral on your dataset with hyperparameter sweeps and full training transparency.
API Endpoint Deployment
A ready-to-call REST endpoint with auth, rate limits, and a documented prompt schema you can paste into your stack.