AiGanakModel Lab
Stress-test fine-tuned model outputs, compare model families against your production baselines and review detailed explanations in an isolated validation workspace.
Model Lab benchmarks fine-tuned and candidate models against production baselines on your own examples, scoring accuracy, drift, hallucination and latency, and emails a performance report.
Three steps to a performance report.
Fill the template
Download the testing template, add prompt variables and operating parameters, and upload it.
Evaluate
The engine checks accuracy, stress-tests for hallucinations against truth thresholds and scores latency across target models.
Receive the report
A performance log with drift analysis and accuracy benchmarks is emailed to your verified address.
What it measures
Upload your filled template.
Upload a spreadsheet of test prompts with the expected answers and the models to compare. If you need our template, leave the file empty and tick the box; we'll email it to you.
Is a cheaper model good enough for you?
The LLM Cost Audit uses Model Lab to replay your own examples on smaller models and prices the switch.