Artificial intelligence: development, training and integration · ENGLISH
The local ai with ollama service defines scope, stages and review criteria around the project goal.
01 · CONTEXT
The work defines inputs, expected outputs and checks before a task is automated.
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. Turn this guidance into an observable goal: 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.
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.