Q3AI Services · Models & data
AI Model Fine Tuning
Fine-tuning adjusts a model using your own examples, which can improve consistency of format, tone or specialized behavior. It is not always the right tool, so we test simpler options first.
- Focus
- Adapt a model to your format, tone or domain when prompting isn't enough.
- Building blocks
- Fine-tuning APIs and open-model tooling · Labelling workflows · Evaluation sets · Model serving
- Suits
- Teams with hundreds or thousands of good examples
Built around your business.
We only recommend fine-tuning when it beats prompting and retrieval on your own evaluation set. If it doesn't, we tell you and save you the cost.
What we deliver.
- 01
Feasibility and baseline
Measuring how far prompting and retrieval get you before training anything.
- 02
Dataset preparation
Collecting, cleaning and labeling examples, with privacy considerations handled.
- 03
Training and comparison
Fine-tuning runs compared against the baseline on held-out examples.
- 04
Deployment and monitoring
Serving the tuned model and watching for drift and regressions.
Where it's used.
Consistent structured output
Producing the same format every time for downstream systems.
Domain vocabulary and tone
Adapting to specialist terminology or house style.
Smaller, cheaper models
Getting acceptable quality from a smaller model on a narrow task.
How we work.
01
Discover
We agree the problem, the data available and how success will be judged.
02
Prove
A small, testable version on your own data shows what works before larger spend.
03
Build
Production engineering: integrations, safeguards, review steps and monitoring.
04
Improve
We measure real usage, fix what falls short and keep quality and cost in check.
Best fit.
- Teams with hundreds or thousands of good examples
- High-volume tasks where cost per call matters
- Narrow tasks where prompting is inconsistent
Why Q3 Labs.
- Senior people on the work
- You work with the specialists doing the project, not a hand-off to a junior team.
- Marketing and engineering together
- Design, development, data and growth sit in one team, so a solution is built with adoption in mind.
- Plain reporting, no lock-in
- Clear progress reporting and no long-term contracts. You keep ownership of your assets and accounts.
Explore related work.
Related AI services
- LLM DevelopmentApplications and pipelines built on large language models.
- RAG SolutionsAnswers grounded in your own documents through retrieval-augmented generation.
- Machine LearningClassification, forecasting and scoring models trained on your data.
- NLP DevelopmentText classification, extraction, search and analysis built for your language data.
Related services
Industries where this fits
Frequently asked questions
Talk to us about AI Model Fine Tuning.
Tell us what you're trying to achieve. We'll tell you how we'd approach it, and whether Q3 Labs is the right fit.