Tag: hugging

  • Slashdot: Diffusion + Coding = DiffuCode. How Apple Released a Weirdly Interesting Coding Language Model

    Source URL: https://developers.slashdot.org/story/25/07/05/1259255/diffusion–coding–diffucode-how-apple-released-a-weirdly-interesting-coding-language-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Diffusion + Coding = DiffuCode. How Apple Released a Weirdly Interesting Coding Language Model Feedly Summary: AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the release of Apple’s new AI model, DiffuCode-7B-cpGRPO, which utilizes a diffusion-based approach for code generation, unlike traditional autoregressive large language…

  • Simon Willison’s Weblog: Introducing Gemma 3n: The developer guide

    Source URL: https://simonwillison.net/2025/Jun/26/gemma-3n/ Source: Simon Willison’s Weblog Title: Introducing Gemma 3n: The developer guide Feedly Summary: Introducing Gemma 3n: The developer guide Extremely consequential new open weights model release from Google today: Multimodal by design: Gemma 3n natively supports image, audio, video, and text inputs and text outputs. Optimized for on-device: Engineered with a focus…

  • Simon Willison’s Weblog: Mistral-Small 3.2

    Source URL: https://simonwillison.net/2025/Jun/20/mistral-small-32/ Source: Simon Willison’s Weblog Title: Mistral-Small 3.2 Feedly Summary: Mistral-Small 3.2 Released on Hugging Face a couple of hours ago, so far there aren’t any quantizations to run it on a Mac but I’m sure those will emerge pretty quickly. This is a minor bump to Mistral Small 3.1, one of my…

  • Docker: How to Build, Run, and Package AI Models Locally with Docker Model Runner

    Source URL: https://www.docker.com/blog/how-to-build-run-and-package-ai-models-locally-with-docker-model-runner/ Source: Docker Title: How to Build, Run, and Package AI Models Locally with Docker Model Runner Feedly Summary: Introduction As a Senior DevOps Engineer and Docker Captain, I’ve helped build AI systems for everything from retail personalization to medical imaging. One truth stands out: AI capabilities are core to modern infrastructure. This…

  • Simon Willison’s Weblog: Qwen3 Embedding

    Source URL: https://simonwillison.net/2025/Jun/8/qwen3-embedding/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3 Embedding Feedly Summary: Qwen3 Embedding New family of embedding models from Qwen, in three sizes: 0.6B, 4B, 8B – and two categories: Text Embedding and Text Reranking. The full collection can be browsed on Hugging Face. The smallest available model is the 0.6B Q8 one, which…

  • Simon Willison’s Weblog: Comma v0.1 1T and 2T – 7B LLMs trained on openly licensed text

    Source URL: https://simonwillison.net/2025/Jun/7/comma/#atom-everything Source: Simon Willison’s Weblog Title: Comma v0.1 1T and 2T – 7B LLMs trained on openly licensed text Feedly Summary: It’s been a long time coming, but we finally have some promising LLMs to try out which are trained entirely on openly licensed text! EleutherAI released the Pile four and a half…

  • Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and…