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Tag: Qwen

  • 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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    Kurt Seifried
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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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    Kurt Seifried
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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,…

  • Simon Willison’s Weblog: What’s new in the world of LLMs, for NICAR 2025

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/8/nicar-llms/ Source: Simon Willison’s Weblog Title: What’s new in the world of LLMs, for NICAR 2025 Feedly Summary: I presented two sessions at the NICAR 2025 data journalism conference this year. The first was this one based on my review of LLMs in 2024, extended by several months to cover everything that’s happened…

  • Hacker News: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2503.00735 Source: Hacker News Title: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces LADDER, a novel framework for enhancing the problem-solving capabilities of Large Language Models (LLMs) through a self-guided learning approach. By recursively generating simpler problem variants, LADDER enables models to…