[0.1] Model development
Model
Build models for real tasks.
Train and refine individual AI models for the task at hand.
01 Overview
A model shaped by the problem it solves.
Start with the task, the inputs it will see, and the outputs you need. Use real examples to refine the model and judge whether it is ready to become part of a larger system.
02 Capabilities
Build around a measurable task.
Prepare examples
Gather representative inputs and define what a correct response looks like.
Train and refine
Use the examples to adapt a model to the task and compare successive versions.
Evaluate performance
Check results on held-out data and use failure cases to guide the next iteration.
03 Workflow
From examples to a model you can test.
Define the task
Agree on inputs, expected outputs, and acceptance criteria.
Run experiments
Train candidates and record what changes between runs.
Review the results
Choose a model version and document where it performs well and where it needs more work.