""Unlike traditional chat models that generate text-based responses, Computer Use Agent (CUA) models like Fara-7B leverage computer interfaces, such as a mouse and keyboard, to complete tasks on behalf of users," Microsoft said in a blog post. "With only 7 billion parameters, Fara-7B achieves state-of-the-art performance within its size class and is competitive with larger, more resource-intensive agentic systems that depend on prompting multiple large models.""
"Microsoft is pushing agentic AI deeper into the PC with Fara-7B, a compact computer-use agent (CUA) model that can automate complex tasks entirely on a local device. The experimental release, aimed at gathering feedback, provides enterprises with a preview of how AI agents might run sensitive workflows without sending data to the cloud, while still matching or outperforming larger models like GPT-4o in real UI navigation tasks."
Fara-7B is a compact computer-use agent (CUA) designed to run locally on PCs and automate complex user interface tasks using mouse and keyboard interactions. The model processes screenshots and interprets on-screen elements at the pixel level, enabling navigation of interfaces even when underlying code is unavailable. Internal benchmarks report a 73.5% success rate on the WebVoyager test, surpassing GPT-4o in computer-use tasks and completing tasks in fewer steps than earlier 7B-class systems. A "Critical Points" safeguard pauses the agent for user approval before irreversible actions, offering enterprises an on-device alternative to cloud-dependent automation for sensitive workflows.
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