context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
Why it matters
In-context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → editing removes 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 → and mask workflows from image pipelines: you condition on a reference image, edit by instruction, and stack edits while identity holds.
