"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."
""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.""
Fara-7B is a compact Computer-Use Agent (CUA) model designed to run entirely on local PCs and automate complex user-interface tasks via mouse and keyboard actions. The model contains 7 billion parameters and delivers state-of-the-art performance within its size class while remaining competitive with larger, resource-intensive agentic systems on real UI navigation tasks. The experimental release targets enterprise feedback and enables sensitive workflows to remain on-device, reducing the need to send data to the cloud. Fara-7B replaces multi-model prompting approaches with a single efficient agent, improving resource efficiency and supporting on-device agentic automation.
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