Models shaped around the task.
When a project needs a model adapted to a particular task or domain, the work starts with a clear objective and suitable data. We work on AI model training and fine-tuning as part of the wider software product, with attention to how the model will be evaluated and used.
Talk about your projectWhat we
bring to it.
Task and model planning
Define the intended behavior, the constraints of the product and the criteria for judging whether adaptation is useful.
Training data preparation
Review and prepare the examples the model will learn from, with a structure suited to the task.
Training and fine-tuning
Adapt a model to the agreed requirements, using the training approach appropriate to the project.
Evaluation and integration
Compare outputs against representative tasks and connect the resulting model to the application or workflow.
Considered from
the beginning.
- 01
Define the objective
Describe the target task and agree on how improvements should be assessed.
- 02
Prepare and adapt
Work through the data and model adaptation with the intended product behavior in mind.
- 03
Evaluate before integration
Review the model’s performance on relevant examples and plan how it will be used in the software.
A look at
our work.
A little
more detail.
Does AI training mean workshops for staff?
This service is technical model training and fine-tuning. It focuses on adapting models for a task, domain or dataset.
Do we need fine-tuning or an AI integration?
That depends on the task. We first consider the behavior you need, the available data and how the model will be used, then scope the appropriate approach. Model adaptation and application integration can be part of the same project.