Model strategy
Choose the right architecture based on task requirements, data and constraints.
MODEL DEVELOPMENT
Engineer models around measurable requirements.
Start with the task, data and evaluation criteria before choosing whether a foundation model, fine-tuning, retrieval or a custom approach is appropriate.
Evaluation
Define representative tests, failure cases and acceptance criteria before deployment.
Adaptation
Use retrieval, prompting, fine-tuning or custom models where justified.
Deployment
Plan inference, monitoring, versioning and rollback as part of the system.
INTELLIGENCE UNLOCKED
Have a process worth improving?
We can take it from discovery through prototype, trial, validation, deployment and support.