Model Tuning & Distillation

Model Tuning & Distillation is the implementation service behind the Tuning & Learning product. Our ML engineers work with your domain experts to prepare training data, run fine-tuning experiments, evaluate results, and deploy adapted models to your caveauAI infrastructure.

Domain Model Specialisation

Fine-tuning a language model is not just a technical exercise — it is a collaboration between ML engineers and domain experts. The engineers know how to adjust model parameters efficiently. The domain experts know what a correct answer looks like. Model Tuning & Distillation brings both together in a structured process.

Service Phases

1. Domain Analysis: Understand your terminology, reasoning patterns, and quality standards
2. Data Curation: Prepare training examples with your team using our annotation tools
3. Experimentation: Run multiple fine-tuning configurations and evaluate against baselines
4. Distillation: Create smaller, faster models that retain domain-specific performance
5. Deployment: Integrate tuned models into your CorpusAI instance
6. Monitoring: Track model performance and schedule periodic retuning