Tag: multimodal AI

Alibaba Previews Qwen3.8-Max Multimodal AI Model Amidst Open-Weight Race

Alibaba's Qwen team has unveiled Qwen3.8-Max-Preview, a 2.4 trillion-parameter multimodal MoE model, positioning it as a top-tier system. The preview comes shortly after Moonshot AI's…

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Alibaba’s Qwen 3.8 AI Model Challenges Kimi K3 with Open-Weight Release

Alibaba has launched Qwen 3.8, an open-weight multimodal AI model with 2.4 trillion parameters, aiming to disrupt the AI landscape and challenge models like Kimi…

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Kimi’s K3 AI Model Approaches Top-Tier Performance, Signals Shift in Chinese AI Pricing

Kimi has launched K3, a multimodal open-weight model with 2.8 trillion parameters and a million-token context window. Benchmarks suggest K3 rivals models like Claude Fable…

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RAG-Anything Tutorial Explores Multimodal Retrieval Pipelines in Colab

A new tutorial demonstrates how to build a RAG-Anything workflow for multimodal retrieval, covering text, tables, equations, and images within a Colab environment. The guide…

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