102 summarised stories about Multimodal Models, each linking back to the original source. Browse all topics →
GitHub Pages 1 year ago 32
Alibaba released Qwen2.5-Omni, a multimodal AI model that processes text, images, audio, and video inputs while generating text and speech responses in real-time. The 7-billion-parameter model is available on Hugging Face, ModelScope, DashScope, and GitHub. The release expands Qwen's capabilities to handle diverse input and output formats simultaneously.
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17 October 2026
Microsoft used today’s announcement to zoom in on what matters in scaling: not just raw capability, but the plumbing behind it. The company revealed MAI-Base-2, a 2T-parameter base model designed to be converted into full LLMs with additional training. Per Microsoft, only 80B parameters activate per prompt, and the training run ate 50T tokens over 38 days using 16,000 Nvidia GB200 GPUs. The headline claim: MAI-Base-2 is up to 12× more hardware-efficient than its predecessors, a metric that will matter to anyone trying to keep inference costs from swallowing margin.
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