In addition, we trained Phi-4-reasoning-vision-15B to have skills that can enable agents to interact with graphical user interfaces by interpreting screen content and selecting actions. With strong high-resolution perception and fine-grained grounding capabilities, Phi-4-reasoning-vision-15B is a compelling option as a base-model for training agentic models such as ones that navigate desktop, web, and mobile interfaces by identifying and localizing interactive elements such as buttons, menus, and text fields. Due to its low inference-time needs it is great for interactive environments where low latency and compact model size are essential.
В стране БРИКС отказались обрабатывать платежи за российскую нефть13:52
，更多细节参见viber
Москвичам рассказали о погоде во второй половине марта08:44
This takes a bit of setup, especially if you’re in a Cargo workspace, but pays off. Here’s my current setup:
Apple Watch Series 11 (GPS, 42mm)