Evaluate Your Model
Quickly identify gaps, set success criteria, and co-develop benchmarks to drive post-training performance.
Why Evaluate Your Model with Turing
Co-Developed Benchmarks
Objective Gap Analysis
Risk-Free Pilot Insights
Transparent Metrics Tracking
Our Evaluation Process
Get Data Packs & Diagnostics
Kickoff & Objective Setting
Align on model goals, datasets, and key performance indicators.
Diagnostic Data Capture
Run structured evaluations, collect performance logs, and gather qualitative feedback loops.
Benchmark Execution
Run curated benchmark suites (e.g., VLM-Bench, SWE-Bench) under controlled conditions.
Results & Recommendations
Deliver a diagnostic brief with gap analysis, prioritized improvement paths, and next-step data or pipeline suggestions.
Get Data Packs & Diagnostics
Bootstrap your evaluation with sample datasets or request custom packs—then run diagnostics on the exact inputs you’ll use in production.
Frequently Asked Questions
What’s included in the diagnostic brief?
A detailed performance report, benchmark comparisons, and prioritized gap analysis with actionable recommendations.
How long does an evaluation take?
From kickoff to brief delivery, typically 1–2 weeks depending on dataset availability and model complexity.
Can I combine evaluation with data generation?
Yes—you can request sample datasets alongside your diagnostics to streamline next-step pipelines.
What happens after the evaluation?
Our team will review findings with you, propose a tailored data-generation plan, and outline a roadmap for optimization.
Want to Know Where Your Model Falls Short?
Validate your model’s strengths and weaknesses before scaling—partner with Turing for a research-driven evaluation.