Experimental News Clipping Site

Tag: Qwen

  • Simon Willison’s Weblog: Large Language Models can run tools in your terminal with LLM 0.26

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/27/llm-tools/ Source: Simon Willison’s Weblog Title: Large Language Models can run tools in your terminal with LLM 0.26 Feedly Summary: LLM 0.26 is out with the biggest new feature since I started the project: support for tools. You can now use the LLM CLI tool – and Python library – to grant LLMs…

  • Simon Willison’s Weblog: Devstral

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…

  • Simon Willison’s Weblog: qwen2.5vl in Ollama

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/18/qwen25vl-in-ollama/#atom-everything Source: Simon Willison’s Weblog Title: qwen2.5vl in Ollama Feedly Summary: qwen2.5vl in Ollama Ollama announced a complete overhaul of their vision support the other day. Here’s the first new model they’ve shipped since then – a packaged version of Qwen 2.5 VL which was first released on January 26th 2025. Here are…

  • Simon Willison’s Weblog: Building software on top of Large Language Models

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/15/building-on-llms/#atom-everything Source: Simon Willison’s Weblog Title: Building software on top of Large Language Models Feedly Summary: I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they needed to get started writing code that…

  • Simon Willison’s Weblog: Vision Language Models (Better, Faster, Stronger)

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/13/vision-language-models/#atom-everything Source: Simon Willison’s Weblog Title: Vision Language Models (Better, Faster, Stronger) Feedly Summary: Vision Language Models (Better, Faster, Stronger) Extremely useful review of the last year in vision and multi-modal LLMs. So much has happened! I’m particularly excited about the range of small open weight vision models that are now available. Models…

  • Slashdot: Alibaba’s ZeroSearch Teaches AI To Search Without Search Engines, Cuts Training Costs By 88%

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/05/09/0113217/alibabas-zerosearch-teaches-ai-to-search-without-search-engines-cuts-training-costs-by-88?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Alibaba’s ZeroSearch Teaches AI To Search Without Search Engines, Cuts Training Costs By 88% Feedly Summary: AI Summary and Description: Yes Summary: Alibaba Group’s “ZeroSearch” technique showcases an innovative approach that enables large language models (LLMs) to develop search capabilities without relying on external search engines, demonstrating significant cost…

  • Simon Willison’s Weblog: Saying "hi" to Microsoft’s Phi-4-reasoning

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/phi-4-reasoning/#atom-everything Source: Simon Willison’s Weblog Title: Saying "hi" to Microsoft’s Phi-4-reasoning Feedly Summary: Microsoft released a new sub-family of models a few days ago: Phi-4 reasoning. They introduced them in this blog post celebrating a year since the release of Phi-3: Today, we are excited to introduce Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning – marking…

  • Simon Willison’s Weblog: What people get wrong about the leading Chinese open models: Adoption and censorship

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/what-people-get-wrong-about-the-leading-chinese-models/#atom-everything Source: Simon Willison’s Weblog Title: What people get wrong about the leading Chinese open models: Adoption and censorship Feedly Summary: What people get wrong about the leading Chinese open models: Adoption and censorship While I’ve been enjoying trying out Alibaba’s Qwen 3 a lot recently, Nathan Lambert focuses on the elephant in…

  • Simon Willison’s Weblog: Qwen3-8B

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/2/qwen3-8b/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-8B Feedly Summary: Having tried a few of the Qwen 3 models now my favorite is a bit of a surprise to me: I’m really enjoying Qwen3-8B. I’ve been running prompts through the MLX 4bit quantized version, mlx-community/Qwen3-8B-4bit. I’m using llm-mlx like this: llm install llm-mlx llm…