Tag: constrained environments

  • 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: Qwen3-4B Instruct and Thinking

    Source URL: https://simonwillison.net/2025/Aug/6/qwen3-4b-instruct-and-thinking/ Source: Simon Willison’s Weblog Title: Qwen3-4B Instruct and Thinking Feedly Summary: Qwen3-4B Instruct and Thinking Yet another interesting model from Qwen—these are tiny compared to their other recent releases (just 4B parameters, 7.5GB on Hugging Face and even smaller when quantized) but with a 262,144 context length, which Qwen suggest is essential…

  • 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…

  • Cloud Blog: Cloud CISO Perspectives: How governments can use AI to improve threat detection and reduce cost

    Source URL: https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-how-governments-can-use-AI-improve-threat-detection-reduce-cost/ Source: Cloud Blog Title: Cloud CISO Perspectives: How governments can use AI to improve threat detection and reduce cost Feedly Summary: Welcome to the second Cloud CISO Perspectives for May 2025. Today, Enrique Alvarez, public sector advisor, Office of the CISO, explores how government agencies can use AI to improve threat detection…

  • Slashdot: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs

    Source URL: https://slashdot.org/story/25/04/17/2224205/microsoft-researchers-develop-hyper-efficient-ai-model-that-can-run-on-cpus?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs Feedly Summary: AI Summary and Description: Yes Summary: Microsoft has launched BitNet b1.58 2B4T, a highly efficient 1-bit AI model featuring 2 billion parameters, optimized for CPU use and accessible under an MIT license. It surpasses competitors in…

  • Hacker News: Gemma3 – The current strongest model that fits on a single GPU

    Source URL: https://ollama.com/library/gemma3 Source: Hacker News Title: Gemma3 – The current strongest model that fits on a single GPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the features and capabilities of the Gemma 3 models developed by Google, which are built on Gemini technology and designed for multimodal tasks. Their…

  • Hacker News: A Practical Guide to Running Local LLMs

    Source URL: https://spin.atomicobject.com/running-local-llms/ Source: Hacker News Title: A Practical Guide to Running Local LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the intricacies of running local large language models (LLMs), emphasizing their applications in privacy-critical situations and the potential benefits of various tools like Ollama and Llama.cpp. It provides insights…

  • Hacker News: Show HN: Factorio Learning Environment – Agents Build Factories

    Source URL: https://jackhopkins.github.io/factorio-learning-environment/ Source: Hacker News Title: Show HN: Factorio Learning Environment – Agents Build Factories Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces the Factorio Learning Environment (FLE), an innovative evaluation framework for Large Language Models (LLMs), focusing on their capabilities in long-term planning and resource optimization. It reveals gaps…