Experimental News Clipping Site

Tag: large language models

  • The Register: IBM’s z17 mainframe – now with 7.5x more AI performance

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/04/08/ibm_z17_update/ Source: The Register Title: IBM’s z17 mainframe – now with 7.5x more AI performance Feedly Summary: Who wouldn’t want predictive business insights in a week like this? (We jest, it can’t solve for Trump tariffs) IBM’s latest mainframe builds on the platform’s traditional attributes of security and reliability for mission-critical workloads, adding…

  • Simon Willison’s Weblog: Quoting Andriy Burkov

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/6/andriy-burkov/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andriy Burkov Feedly Summary: […] The disappointing releases of both GPT-4.5 and Llama 4 have shown that if you don’t train a model to reason with reinforcement learning, increasing its size no longer provides benefits. Reinforcement learning is limited only to domains where a reward can…

  • Slashdot: In ‘Milestone’ for Open Source, Meta Releases New Benchmark-Beating Llama 4 Models

    —

    by

    Kurt Seifried
    in

    Source URL: https://news.slashdot.org/story/25/04/06/182233/in-milestone-for-open-source-meta-releases-new-benchmark-beating-llama-4-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: In ‘Milestone’ for Open Source, Meta Releases New Benchmark-Beating Llama 4 Models Feedly Summary: AI Summary and Description: Yes Summary: Mark Zuckerberg recently announced the launch of four new Llama Large Language Models (LLMs) that reinforce Meta’s commitment to open source AI. These models, particularly Llama 4 Scout and…

  • The Cloudflare Blog: Welcome to Developer Week 2025

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/welcome-to-developer-week-2025/ Source: The Cloudflare Blog Title: Welcome to Developer Week 2025 Feedly Summary: We’re kicking off Cloudflare’s 2025 Developer Week — our innovation week dedicated to announcements for developers. AI Summary and Description: Yes Summary: The text highlights Cloudflare’s Developer Week in 2025, focusing on advancements in AI, coding, and platform development for…

  • Simon Willison’s Weblog: Note on 5th April 2025

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/5/llama-4-notes/#atom-everything Source: Simon Willison’s Weblog Title: Note on 5th April 2025 Feedly Summary: Dropping a model release as significant as Llama 4 on a weekend is plain unfair! So far the best place to learn about the new model family is this post on the Meta AI blog. You can try them out…

  • Simon Willison’s Weblog: Quoting Ahmed Al-Dahle

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/5/llama-4/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ahmed Al-Dahle Feedly Summary: The Llama series have been re-designed to use state of the art mixture-of-experts (MoE) architecture and natively trained with multimodality. We’re dropping Llama 4 Scout & Llama 4 Maverick, and previewing Llama 4 Behemoth. 📌 Llama 4 Scout is highest performing small…

  • Slashdot: Open Source Coalition Announces ‘Model-Signing’ with Sigstore to Strengthen the ML Supply Chain

    —

    by

    Kurt Seifried
    in

    Source URL: https://it.slashdot.org/story/25/04/05/0621201/open-source-coalition-announces-model-signing-with-sigstore-to-strengthen-the-ml-supply-chain?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Open Source Coalition Announces ‘Model-Signing’ with Sigstore to Strengthen the ML Supply Chain Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant advancement in model security through the introduction of a model-signing library by Google, in collaboration with the Linux Foundation, NVIDIA, and HiddenLayer. This…

  • Docker: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/run-llms-locally/ Source: Docker Title: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner Feedly Summary: AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Between picking the right model, navigating hardware quirks, and optimizing for performance, it’s easy…