Artificial intelligence: development, training and integration · ENGLISH
Service page for projects serving Chile. Define the task, permitted data and expected outcome before choosing a model. In Chile, requirements, service states and delivery criteria should be easy to review before work moves forward.
01 · CONTEXT
In Chile, requirements, service states and delivery criteria should be easy to review before work moves forward.
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 Chile, confirm with the people involved: In Chile, requirements, service states and delivery criteria should be easy to review before work moves forward.
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.