Tag: model deployment

  • Docker: Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support

    Source URL: https://www.docker.com/blog/docker-model-runner-vulkan-gpu-support/ Source: Docker Title: Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support Feedly Summary: Running large language models (LLMs) on your local machine is one of the most exciting frontiers in AI development. At Docker, our goal is to make this process as simple and accessible as possible.…

  • Docker: IBM Granite 4.0 Models Now Available on Docker Hub

    Source URL: https://www.docker.com/blog/ibm-granite-4-0-models-now-available-on-docker-hub/ Source: Docker Title: IBM Granite 4.0 Models Now Available on Docker Hub Feedly Summary: Developers can now discover and run IBM’s latest open-source Granite 4.0 language models from the Docker Hub model catalog, and start building in minutes with Docker Model Runner. Granite 4.0 pairs strong, enterprise-ready performance with a lightweight footprint,…

  • Simon Willison’s Weblog: GPT-5 pro

    Source URL: https://simonwillison.net/2025/Oct/6/gpt-5-pro/ Source: Simon Willison’s Weblog Title: GPT-5 pro Feedly Summary: GPT-5 pro Here’s OpenAI’s model documentation for their GPT-5 pro model, released to their API today at their DevDay event. It has similar base characteristics to GPT-5: both share a September 30, 2024 knowledge cutoff and 400,000 context limit. GPT-5 pro has maximum…

  • Cloud Blog: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/new-proprietary-models-vertex-model-garden/ Source: Cloud Blog Title: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI Feedly Summary: Building the best AI applications requires both the freedom to choose the most powerful, specialized model for the task at hand, and a platform that can handle them all. This flexibility is core…

  • Docker: Fine-Tuning Local Models with Docker Offload and Unsloth

    Source URL: https://www.docker.com/blog/fine-tuning-models-with-offload-and-unsloth/ Source: Docker Title: Fine-Tuning Local Models with Docker Offload and Unsloth Feedly Summary: I’ve been experimenting with local models for a while now, and the progress in making them accessible has been exciting. Initial experiences are often fantastic, many models, like Gemma 3 270M, are lightweight enough to run on common hardware.…

  • Wired: Exclusive: Mira Murati’s Stealth AI Lab Launches Its First Product

    Source URL: https://www.wired.com/story/thinking-machines-lab-first-product-fine-tune/ Source: Wired Title: Exclusive: Mira Murati’s Stealth AI Lab Launches Its First Product Feedly Summary: Thinking Machines Lab, led by a group of prominent former OpenAI researchers, is betting that fine tuning cutting-edge models will be the next frontier in AI. AI Summary and Description: Yes Summary: The text discusses the efforts…

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

    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…

  • Docker: Docker Model Runner General Availability

    Source URL: https://www.docker.com/blog/announcing-docker-model-runner-ga/ Source: Docker Title: Docker Model Runner General Availability Feedly Summary: We’re excited to share that Docker Model Runner is now generally available (GA)! In April 2025, Docker introduced the first Beta release of Docker Model Runner, making it easy to manage, run, and distribute local AI models (specifically LLMs). Though only a…

  • Slashdot: Gemini AI Solves Coding Problem That Stumped 139 Human Teams At ICPC World Finals

    Source URL: https://slashdot.org/story/25/09/17/1923220/gemini-ai-solves-coding-problem-that-stumped-139-human-teams-at-icpc-world-finals?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Gemini AI Solves Coding Problem That Stumped 139 Human Teams At ICPC World Finals Feedly Summary: AI Summary and Description: Yes Summary: Google’s generative AI model, Gemini 2.5, achieved a gold medal at the International Collegiate Programming Contest (ICPC), showcasing advancements towards artificial general intelligence. This performance highlights the…