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Tag: Qwen

  • Slashdot: Huawei Shows Off 384-Chip AI Computing System That Rival Nvidia’s Top Product

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    Kurt Seifried
    in

    Source URL: https://hardware.slashdot.org/story/25/07/27/2248257/huawei-shows-off-384-chip-ai-computing-system-that-rival-nvidias-top-product Source: Slashdot Title: Huawei Shows Off 384-Chip AI Computing System That Rival Nvidia’s Top Product Feedly Summary: AI Summary and Description: Yes Summary: Huawei’s CloudMatrix 384 AI computing system, showcased at the World Artificial Intelligence Conference, offers significant performance metrics that rival Nvidia’s offerings despite export restrictions. Additionally, Alibaba introduced a new…

  • Simon Willison’s Weblog: Qwen3-235B-A22B-Thinking-2507

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/25/qwen3-235b-a22b-thinking-2507/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-235B-A22B-Thinking-2507 Feedly Summary: Qwen3-235B-A22B-Thinking-2507 The third Qwen model release week, following Qwen3-235B-A22B-Instruct-2507 on Monday 21st and Qwen3-Coder-480B-A35B-Instruct on Tuesday 22nd. Those two were both non-reasoning models – a change from the previous models in the Qwen 3 family which combined reasoning and non-reasoning in the same model,…

  • Cloud Blog: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/take-an-open-model-from-discovery-to-endpoint-on-vertex-ai/ Source: Cloud Blog Title: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI Feedly Summary: Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling…

  • Simon Willison’s Weblog: TimeScope: How Long Can Your Video Large Multimodal Model Go?

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/23/timescope/#atom-everything Source: Simon Willison’s Weblog Title: TimeScope: How Long Can Your Video Large Multimodal Model Go? Feedly Summary: TimeScope: How Long Can Your Video Large Multimodal Model Go? New open source benchmark for evaluating vision LLMs on how well they handle long videos: TimeScope probes the limits of long-video capabilities by inserting several…

  • Simon Willison’s Weblog: Qwen3-Coder: Agentic Coding in the World

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/22/qwen3-coder/ Source: Simon Willison’s Weblog Title: Qwen3-Coder: Agentic Coding in the World Feedly Summary: Qwen3-Coder: Agentic Coding in the World It turns out that as I was typing up my notes on Qwen3-235B-A22B-Instruct-2507 the Qwen team were unleashing something much bigger: Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder…

  • Simon Willison’s Weblog: Qwen/Qwen3-235B-A22B-Instruct-2507

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/22/qwen3-235b-a22b-instruct-2507/#atom-everything Source: Simon Willison’s Weblog Title: Qwen/Qwen3-235B-A22B-Instruct-2507 Feedly Summary: Qwen/Qwen3-235B-A22B-Instruct-2507 Significant new model release from Qwen, published yesterday without much fanfare. This is a follow-up to their April release of the full Qwen 3 model family, which included a Qwen3-235B-A22B model which could handle both reasoning and non-reasoning prompts (via a /no_think toggle).…

  • Slashdot: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/07/04/1521245/simple-text-additions-can-fool-advanced-ai-reasoning-models-researchers-find Source: Slashdot Title: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: The research highlights a significant vulnerability in state-of-the-art reasoning AI models through the “CatAttack” technique, which attaches irrelevant phrases to math problems, leading to higher error rates and inefficient responses.…

  • Docker: Tool Calling with Local LLMs: A Practical Evaluation

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/local-llm-tool-calling-a-practical-evaluation/ Source: Docker Title: Tool Calling with Local LLMs: A Practical Evaluation Feedly Summary: Which local model should I use for tool calling? When building GenAI and agentic applications, one of the most pressing and persistent questions is: “Which local model should I use for tool calling?”  We kept hearing again and again,…