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Microsoft’s Phi-4-Reasoning-Vision-15B: A Small Multimodal Model Built to Think Only When It Matters

Microsoft is extending its Phi small-model strategy into multimodal territory with Phi-4-Reasoning-Vision-15B, a 15-billion-parameter open-weight model designed to decide when to reason step-by-step and when to respond directly. For AI engineers and technical leaders, the model targets a specific trade-off:… Read More »Microsoft’s Phi-4-Reasoning-Vision-15B: A Small Multimodal Model Built to Think Only When It Matters

How Black Forest Labs’ Self-Flow Slashes Multimodal AI Training to 1/50th the Steps

Black Forest Labs, the company behind the FLUX family of image models, has introduced Self-Flow, a new training framework for diffusion-style generative models that aims to remove a long-standing bottleneck in multimodal AI. Instead of leaning on external “teacher” encoders… Read More »How Black Forest Labs’ Self-Flow Slashes Multimodal AI Training to 1/50th the Steps