Artificial intelligence: development, training and integration · ENGLISH
Service page for projects serving Cuenca. Prepare examples and quality criteria to guide model behaviour. In Cuenca, grouping content by need makes schedules, catalogues or services easier to navigate.
01 · CONTEXT
In Cuenca, grouping content by need makes schedules, catalogues or services easier to navigate.
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 Cuenca, confirm with the people involved: In Cuenca, grouping content by need makes schedules, catalogues or services easier to navigate.
A training plan covering its goal, data sources, supervision and evaluation.
Confirm data provenance and permissions, and reserve separate evaluation examples.
03 · METHOD
Models, integration and evaluation
04 · ANSWERS
Prepare examples and quality criteria to guide model behaviour. A training plan covering its goal, data sources, supervision and evaluation.
Prepare the task, representative examples, permitted data, privacy constraints and target environment. Avoid sharing sensitive data in an initial enquiry.
Confirm data provenance and permissions, and reserve separate evaluation examples.