Cloud Security Alliance News Clipping Site

Tag: large language models

  • Hacker News: Red Hat Reveals Major Enhancements to Red Hat Enterprise Linux AI

    —

    by

    system automation
    in

    Source URL: https://www.zdnet.com/article/red-hat-reveals-major-enhancements-to-red-hat-enterprise-linux-ai/ Source: Hacker News Title: Red Hat Reveals Major Enhancements to Red Hat Enterprise Linux AI Feedly Summary: Comments AI Summary and Description: Yes Summary: Red Hat has launched RHEL AI 1.2, an updated platform designed to improve the development, testing, and deployment of large language models (LLMs). This version introduces features aimed…

  • Hacker News: Rabbit raises additional $10M to launch first AI hardware to replace appbased OS

    —

    by

    system automation
    in

    Source URL: https://www.rabbit.tech/newsroom/rabbit-raises-additional-10m Source: Hacker News Title: Rabbit raises additional $10M to launch first AI hardware to replace appbased OS Feedly Summary: Comments AI Summary and Description: Yes Summary: Rabbit Inc., an AI startup, has secured an additional $10 million in funding to launch its new AI hardware and operating system, rabbit OS, which employs…

  • Hacker News: VPTQ: Extreme low-bit Quantization for real LLMs

    —

    by

    system automation
    in

    Source URL: https://github.com/microsoft/VPTQ Source: Hacker News Title: VPTQ: Extreme low-bit Quantization for real LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a novel technique called Vector Post-Training Quantization (VPTQ) designed for compressing Large Language Models (LLMs) to extremely low bit-widths (under 2 bits) without compromising accuracy. This innovative method can…

  • Hacker News: Intuit asked us to delete part of this Decoder episode

    —

    by

    system automation
    in

    Source URL: https://www.theverge.com/2024/10/21/24273820/intuit-ceo-sasan-goodarzi-turbotax-irs-quickbooks-ai-software-decoder-interview Source: Hacker News Title: Intuit asked us to delete part of this Decoder episode Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text features an interview with Intuit CEO Sasan Goodarzi, discussing the company’s transition into a platform-centric business, the integration of various acquired technologies, and their strategic focus on…

  • Docker: Using Docker AI Tools for Devs to Provide Context for Better Code Fixes

    —

    by

    system automation
    in

    Source URL: https://www.docker.com/blog/using-docker-ai-tools-for-devs-to-provide-context-for-better-code-fixes/ Source: Docker Title: Using Docker AI Tools for Devs to Provide Context for Better Code Fixes Feedly Summary: Learn how to map your codebase in order to provide context for creating better AI-generated code fixes. AI Summary and Description: Yes **Summary:** The text discusses Docker’s exploration of integrating AI developer tools into…

  • Hacker News: IBM Granite 3.0: open enterprise models

    —

    by

    system automation
    in

    Source URL: https://www.ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models Source: Hacker News Title: IBM Granite 3.0: open enterprise models Feedly Summary: Comments AI Summary and Description: Yes Summary: IBM has launched Granite 3.0, an advanced series of large language models (LLMs) developed for enterprise applications, emphasizing safety, cost-efficiency, and performance. The open-source models and detailed training disclosures mark a significant commitment…

  • Docker: Announcing IBM Granite AI Models Now Available on Docker Hub

    —

    by

    system automation
    in

    Source URL: https://www.docker.com/blog/announcing-ibm-granite-ai-models-now-available-on-docker-hub/ Source: Docker Title: Announcing IBM Granite AI Models Now Available on Docker Hub Feedly Summary: IBM’s Granite AI models, optimized for business applications, are now available on Docker Hub, making it easier for developers to deploy, scale, and customize AI-powered apps. AI Summary and Description: Yes Summary: The announcement regarding IBM’s Granite…

  • Simon Willison’s Weblog: The 3 AI Use Cases: Gods, Interns, and Cogs

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Oct/20/gods-interns-and-cogs/#atom-everything Source: Simon Willison’s Weblog Title: The 3 AI Use Cases: Gods, Interns, and Cogs Feedly Summary: The 3 AI Use Cases: Gods, Interns, and Cogs Drew Breunig introduces an interesting new framework for categorizing use cases of modern AI: Gods refers to the autonomous, AGI stuff that’s still effectively science fiction. Interns…

  • Simon Willison’s Weblog: Quoting Jens Ohlig

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Oct/20/jens-ohlig/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jens Ohlig Feedly Summary: Who called it “intellectual property problems around the acquisition of training data for Large Language Models” and not Grand Theft Autocomplete? — Jens Ohlig, on March 8th 2024 Tags: training-data, llms, ai, generative-ai AI Summary and Description: Yes Summary: The text highlights…

  • Irrational Exuberance: Modeling driving onboarding.

    —

    by

    system automation
    in

    Source URL: https://lethain.com/driver-onboarding-model/ Source: Irrational Exuberance Title: Modeling driving onboarding. Feedly Summary: The How should you adopt LLMs? strategy explores how Theoretical Ride Sharing might adopt LLMs. It builds on several models, the first is about LLMs impact on Developer Experience. The second model, documented here, looks at whether LLMs might improve a core product…