Artificial intelligence: development, training and integration · ENGLISH
Service page for projects serving Rio de Janeiro. Adapt instructions, context and data to the intended use without hiding model limits. In Rio de Janeiro, mobile journeys can bring information and contact closer without unnecessary steps.
01 · CONTEXT
In Rio de Janeiro, mobile journeys can bring information and contact closer without unnecessary 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 Rio de Janeiro, confirm with the people involved: In Rio de Janeiro, mobile journeys can bring information and contact closer without unnecessary steps.
A comparison of instructions, context retrieval and model adaptation.
Choose the simplest option that meets the criterion and compare it with the base model.
03 · METHOD
Models, integration and evaluation
04 · ANSWERS
Adapt instructions, context and data to the intended use without hiding model limits. A comparison of instructions, context retrieval and model adaptation.
Prepare the task, representative examples, permitted data, privacy constraints and target environment. Avoid sharing sensitive data in an initial enquiry.
Choose the simplest option that meets the criterion and compare it with the base model.