AI training & deployment

Find the model change the task actually needs.

Not every AI problem needs a training project. Faith Forge Labs helps assess the behavior you want, compare suitable approaches and plan the data, evaluation and deployment work around a defined task.

Describe the behavior you need to improve

Clarify the task.

Check the instructions, examples and application rules before assuming the model itself needs changing.

Supply relevant information.

If the answer depends on approved documents, review how the application finds and provides them.

Evaluate adaptation.

Where a model change may fit, compare it against a clear baseline and separate test examples.

Define success before preparing a dataset.

Agree on the task, correct result and failures that matter. Without that comparison, a training run can finish without showing whether the useful behavior improved.

See the assessment process

Include the deployed application.

The resulting model still needs appropriate hosting, access, review and operating checks. The training result and the production system are different parts of the scope.

Explore adaptation and deployment work

What does the current model get wrong?

Use Contact Us at the bottom right or email Faith Forge Labs. An invented example of the expected behavior is enough to start. Do not upload private datasets through the public inquiry.