Mar 9
How does Microsoft’s open-weight Phi-4-Reasoning-Vision-15B small language model process complex visual data? Explore its architecture, which leverages a pre-trained SigLIP-2 vision encoder. This model has the unique capacity to identify interactive objects like menus and buttons, instantly translating them into exact coordinate-based actions. In fact, it is significantly outperforming its predecessor and Gemma 3 models of equivalent size on the ScreenSpot-v2 benchmark. Read the full article!
