Artificial intelligence: development, training and integration · ENGLISH
Service page for projects serving Guayaquil. Configure local models and access for workflows that do not send every input to an external API. In Guayaquil, catalogues and services are easier to use when practical information sits next to each action.
01 · CONTEXT
In Guayaquil, catalogues and services are easier to use when practical information sits next to each action.
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 Guayaquil, confirm with the people involved: In Guayaquil, catalogues and services are easier to use when practical information sits next to each action.
A local Ollama setup covering the selected model, context and available resources.
Check the downloaded model starts and handles the intended cases on that machine.
03 · METHOD
Models, integration and evaluation
04 · ANSWERS
Configure local models and access for workflows that do not send every input to an external API. A local Ollama setup covering the selected model, context and available resources.
Prepare the task, representative examples, permitted data, privacy constraints and target environment. Avoid sharing sensitive data in an initial enquiry.
Check the downloaded model starts and handles the intended cases on that machine.