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- Fara-7B: An Efficient Agentic Model for Computer Use
Fara-7B is an experimental release, designed to invite hands-on exploration and feedback from the community Users can build and test agentic experiences beyond pure research—automating everyday web tasks like filling out forms, searching for information, booking travel, or managing accounts
- Fara-7B: An Efficient Agentic Model for Computer Use
Overview Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that achieves state-of-the-art performance within its size class and is competitive with larger, more resource-intensive agentic systems
- microsoft Fara-7B · Hugging Face
Fara-7B: An Efficient Agentic Model for Computer Use Official Microsoft Blog Technical Report Github Microsoft Foundry Model Summary Developer: Microsoft Research Description: Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that achieves state-of-the-art
- Fara-7B: An Efficient Agentic Model for Computer Use
It achieves high throughput, yield, and diversity for multi-step web tasks, producing verified trajectories at approximately $1 each We use this data to train Fara-7B, a native CUA model that perceives the computer using only screenshots, executes actions via predicted coordinates, and is small enough to run on-device
- Microsoft AI Releases Fara-7B: An Efficient Agentic Model for Computer Use
Learn how Fara-7B operates as a computer use agent for seamless browsing Discover its unique capabilities and advantages
- Fara-7B Computer Use Agent Redefines On-Device AI
Microsoft's Fara-7B computer use agent is an open-weight, 7B-parameter model designed for on-device web automation, promising enhanced privacy and reduced latency
- Microsoft Ai Releases Fara-7B: An efficient agentic model for computing . . .
Released Microsoft research Fara-7b a 7-parameter agentic agentic lildicial language model designed for computer use It is an open to use agent that works from screens, predicts mouse and keyboard actions, and is small enough to run on one user device, which reduces the browsing of local data
- Microsoft AI Releases Fara-7B: An Efficient Agentic Model for Computer Use
Microsoft Research has unveiled Fara-7B, a 7 billion parameter agentic small language model designed to directly interact with computers; it predicts mouse and keyboard actions from screenshots, reducing latency and maintaining data privacy This open-weight agent operates on user devices, representing a shift from cloud-dependent AI interactions
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