Experimental News Clipping Site

Tag: Vision Models

  • Simon Willison’s Weblog: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/23/qwen3-vl/ Source: Simon Willison’s Weblog Title: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action Feedly Summary: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action I’ve been looking forward to this. Qwen 2.5 VL is one of the best available open weight vision LLMs, so I had high hopes for Qwen 3’s vision models. Firstly, we…

  • Simon Willison’s Weblog: Ollama’s new app

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/31/ollamas-new-app/#atom-everything Source: Simon Willison’s Weblog Title: Ollama’s new app Feedly Summary: Ollama’s new app Ollama has been one of my favorite ways to run local models for a while – it makes it really easy to download models, and it’s smart about keeping them resident in memory while they are being used and…

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

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: Trying out llama.cpp’s new vision support

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/10/llama-cpp-vision/#atom-everything Source: Simon Willison’s Weblog Title: Trying out llama.cpp’s new vision support Feedly Summary: This llama.cpp server vision support via libmtmd pull request – via Hacker News – was merged earlier today. The PR finally adds full support for vision models to the excellent llama.cpp project. It’s documented on this page, but the…

  • Simon Willison’s Weblog: Quoting James Betker

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/16/james-betker/#atom-everything Source: Simon Willison’s Weblog Title: Quoting James Betker Feedly Summary: I work for OpenAI. […] o4-mini is actually a considerably better vision model than o3, despite the benchmarks. Similar to how o3-mini-high was a much better coding model than o1. I would recommend using o4-mini-high over o3 for any task involving vision.…

  • Hacker News: Map Features in OpenStreetMap with Computer Vision

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    Kurt Seifried
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    Source URL: https://blog.mozilla.ai/map-features-in-openstreetmap-with-computer-vision/ Source: Hacker News Title: Map Features in OpenStreetMap with Computer Vision Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Mozilla.ai’s development of the OpenStreetMap AI Helper Blueprint, which utilizes computer vision models to enhance the mapping process while maintaining human verification. This innovation highlights the potential of AI…

  • Hacker News: OpenArc – Lightweight Inference Server for OpenVINO

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    Kurt Seifried
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    Source URL: https://github.com/SearchSavior/OpenArc Source: Hacker News Title: OpenArc – Lightweight Inference Server for OpenVINO Feedly Summary: Comments AI Summary and Description: Yes **Summary:** OpenArc is a lightweight inference API backend optimized for leveraging hardware acceleration with Intel devices, designed for agentic use cases and capable of serving large language models (LLMs) efficiently. It offers a…

  • Hacker News: Inducing brain-like structure in GPT’s weights makes them parameter efficient

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.16396 Source: Hacker News Title: Inducing brain-like structure in GPT’s weights makes them parameter efficient Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces TopoLoss, a new loss function aimed at enhancing the organization of AI models by adopting brain-like topographic structures. This approach results in superior task performance in…