fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
Shows that generation quality and legal risk can live entirely in the curated context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → assets, not the model: unvetted example components made outputs resemble existing apps and forced a feature rollback.
