fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
A real-time, action-conditioned world model with a fine-tuningTaking a trained model and training it a bit more on your own examples so it gets better at one specific job.Full definition → path means policy evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition →, counterfactual rollouts and synthetic training data can run in simulation instead of on hardware.
