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Tag: Qwen

  • Simon Willison’s Weblog: Qwen2.5 Omni: See, Hear, Talk, Write, Do It All!

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/28/qwen25-omni/#atom-everything Source: Simon Willison’s Weblog Title: Qwen2.5 Omni: See, Hear, Talk, Write, Do It All! Feedly Summary: Qwen2.5 Omni: See, Hear, Talk, Write, Do It All! I’m not sure how I missed this one at the time, but last month (March 27th) Qwen released their first multi-modal model that can handle audio and…

  • Simon Willison’s Weblog: Note on 20th April 2025

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/20/janky-license/#atom-everything Source: Simon Willison’s Weblog Title: Note on 20th April 2025 Feedly Summary: Now that Llama has very real competition in open weight models (Gemma 3, latest Mistrals, DeepSeek, Qwen) I think their janky license is becoming much more of a liability for them. It’s just limiting enough that it could be the…

  • Simon Willison’s Weblog: An LLM Query Understanding Service

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/9/an-llm-query-understanding-service/#atom-everything Source: Simon Willison’s Weblog Title: An LLM Query Understanding Service Feedly Summary: An LLM Query Understanding Service Doug Turnbull recently wrote about how all search is structured now: Many times, even a small open source LLM will be able to turn a search query into reasonable structure at relatively low cost. In…

  • Simon Willison’s Weblog: Mistral Small 3.1 on Ollama

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/8/mistral-small-31-on-ollama/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3.1 on Ollama Feedly Summary: Mistral Small 3.1 on Ollama Mistral Small 3.1 (previously) is now available through Ollama, providing an easy way to run this multi-modal (vision) model on a Mac (and other platforms, though I haven’t tried them myself yet). I had to…

  • Simon Willison’s Weblog: Qwen2.5-VL-32B: Smarter and Lighter

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/24/qwen25-vl-32b/#atom-everything Source: Simon Willison’s Weblog Title: Qwen2.5-VL-32B: Smarter and Lighter Feedly Summary: Qwen2.5-VL-32B: Smarter and Lighter The second big open weight LLM release from China today – the first being DeepSeek v3-0324. Qwen’s previous vision model was Qwen2.5 VL, released in January in 3B, 7B and 72B sizes. Today’s release is a 32B…

  • Hacker News: Qwen2.5-VL-32B: Smarter and Lighter

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    Source URL: https://qwenlm.github.io/blog/qwen2.5-vl-32b/ Source: Hacker News Title: Qwen2.5-VL-32B: Smarter and Lighter Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the Qwen2.5-VL-32B model, an advanced AI model focusing on improved human-aligned responses, mathematical reasoning, and visual understanding. Its performance has been benchmarked against leading models, showcasing significant advancements in multimodal tasks. This…

  • Hacker News: Understanding R1-Zero-Like Training: A Critical Perspective

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    Kurt Seifried
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    Source URL: https://github.com/sail-sg/understand-r1-zero Source: Hacker News Title: Understanding R1-Zero-Like Training: A Critical Perspective Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach to LLM training called R1-Zero-like training, emphasizing a new reinforcement learning method termed Dr. GRPO that enhances reasoning capabilities. It highlights significant improvements in model performance through…

  • Hacker News: ByteCraft: Generating video games and animations through bytes

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    Source URL: https://emygervais.github.io/2025/03/15/bytecraft.html Source: Hacker News Title: ByteCraft: Generating video games and animations through bytes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “ByteCraft,” a novel model designed to generate executable files for video games and animations from text prompts, representing a significant advancement in AI technology, specifically in generative AI.…

  • The Register: DeepSeek-R1-beating perf in a 32B package? El Reg digs its claws into Alibaba’s QwQ

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    Source URL: https://www.theregister.com/2025/03/16/qwq_hands_on_review/ Source: The Register Title: DeepSeek-R1-beating perf in a 32B package? El Reg digs its claws into Alibaba’s QwQ Feedly Summary: How to tame its hypersensitive hyperparameters and get it running on your PC Hands on How much can reinforcement learning – and a bit of extra verification – improve large language models,…