Artificial intelligence: development, training and integration · ENGLISH
Service page for projects serving Trinidad and Tobago. Define the task, permitted data and expected outcome before choosing a model. For Trinidad and Tobago, Spanish and English versions should keep the same context and next steps.
01 · CONTEXT
For Trinidad and Tobago, Spanish and English versions should keep the same context and next steps.
02 · PRACTICAL BRIEF
Models, integration and evaluation
Define the task, representative examples, permitted data, evaluation goal and runtime environment. Leave sensitive data out of the initial brief. Before finalising the brief for Trinidad and Tobago, confirm with the people involved: For Trinidad and Tobago, Spanish and English versions should keep the same context and next steps.
A definition of the problem, permitted inputs, expected output and model location.
Evaluate representative examples and record limits, errors and cases needing human review.
03 · METHOD
Models, integration and evaluation
04 · ANSWERS
Define the task, permitted data and expected outcome before choosing a model. A definition of the problem, permitted inputs, expected output and model location.
Prepare the task, representative examples, permitted data, privacy constraints and target environment. Avoid sharing sensitive data in an initial enquiry.
Evaluate representative examples and record limits, errors and cases needing human review.