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Computer-Use Models
Train models to interact with computer interfaces at the pixel level — moving the cursor, clicking, typing — treating any GUI application as a controllable environment. Computer-use models operate directly on screen pixels: they take a screenshot as input, decide where to move the cursor and what action to take (click, right-click, type, scroll), and receive the updated screenshot as the next observation. This is a pixel-level agent that works on any GUI without API access. Training combines behavior cloning from human computer-use traces (mouse movements, clicks) with RL from task completion. The pixel-level approach generalizes across operating systems and applications.
Papers, code, and datasets
Datasets & ModelsWant to explore this concept?
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