Model Evaluation workshop
Model Selection & Benchmarking for Your Domain
Choose the right model on your data, not on public leaderboards.
- 1 day
- Hands-on in AI Transformation Studio
- On your own system
The problem
Leaderboard winners often lose on domain tasks, and the cost and latency gap between models is large. This workshop benchmarks candidate models on your own tasks and makes the trade-offs explicit.
Who it's for
Architects, ML leads, and product owners deciding between closed, open, and fine-tuned models.
What to bring
Two or three candidate models and a representative task set from your domain.
The course side
What your team learns
- 1
Domain benchmarks vs leaderboards
Why general scores mislead, using legal and finance benchmarks as examples.
- 2
Run a head-to-head
The same eval suite across candidate models on your tasks.
- 3
Cost, latency, accuracy matrix
Price the trade-offs per request and at your expected volume.
- 4
Risk and compliance fit
Data residency, provider data use, and open-source model risks.
Builds on these course lectures
- Domain Specific Benchmarks - LegalBench vs CorpFin
- Risks and Opportunities of Open-Source Generative AI
- Third Party LLM Adoption
The platform side
What your team builds in AI Transformation Studio
- Run the build-vs-buy and model comparison in a decision matrix
- Capture cost, latency, and accuracy trade-offs per candidate
- Publish the model decision into the delivery roadmap
Also used: Promptfoo, Custom benchmark harness
About AI Transformation Studio →Your team leaves with
- • A benchmark report on your tasks
- • A model decision memo with cost projections
Book this workshop
Request Model Selection & Benchmarking for Your Domain
It's pre-selected in the form. Add others to combine them. Contact us for pricing: fill in your details and we'll reply within one business day.
Often combined with
- Build an LLM Evaluation Harness · 2 days
- RAG Hallucination Control · 1 day