Multimodal Models

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Google MarkTechPost OpenAI Alibaba Hugging Face Mistral

Thursday, 27 March 2025

QVQ-Max: Think with Evidence

GitHub Pages 1 year ago 36

Alibaba's Qwen team released QVQ-Max, a visual reasoning model that analyzes images and videos to solve problems across mathematics, coding, and creative tasks. The model shows continuous accuracy improvements on the MathVision benchmark as its reasoning process length increases, demonstrating enhanced problem-solving capabilities. The release enables broader applications in workplace productivity, education, and daily life assistance through improved visual understanding and analytical reasoning.

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Multimodal Models

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TLDRocket 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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Multimodal Models

Key players

Thursday, 27 March 2025

QVQ-Max: Think with Evidence

Every AI story that matters, in your inbox by 8am.

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