Data & AI · Remote engagement
Model evaluation & fine-tuning
Test models against your task before deciding what deserves further training.
The handoff
What we agree to deliver.
- A baseline and an agreed evaluation protocol
- A reproducible comparison and failure analysis
- A scoped fine-tuning experiment when the baseline justifies it
A first engagement
One task, an agreed dataset and a baseline evaluation. Training is a separate scoped decision.
When the work repeats
A defined experiment allowance and regression checks as data or models change.
Demonstration sample
Inspect the evaluation format
Four fictional records demonstrate schema checks and exact-match scoring. The results describe this toy fixture only, not any real model or production benchmark.