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Tag: language model

  • Docker: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/lora-explained/ Source: Docker Title: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker Feedly Summary: Fine-tuning a language model doesn’t have to be daunting. In our previous post on fine-tuning models with Docker Offload and Unsloth, we walked through how to train small, local models efficiently using Docker’s familiar workflows. This time, we’re narrowing…

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

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    Kurt Seifried
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    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.…

  • Cloud Blog: 150 of the latest AI use cases from leading startups and digital natives

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/startups/150-ai-use-cases-leading-startups-and-digital-natives/ Source: Cloud Blog Title: 150 of the latest AI use cases from leading startups and digital natives Feedly Summary: We recently hosted our first-ever AI Builders Forum, where we gathered with hundreds of the top founders, VCs, advisors, researchers, and teams powering the startups who are building the future with AI. And…

  • Slashdot: Anthropic and IBM Announce Strategic Partnership

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/10/07/2050249/anthropic-and-ibm-announce-strategic-partnership?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic and IBM Announce Strategic Partnership Feedly Summary: AI Summary and Description: Yes Summary: IBM’s collaboration with AI research lab Anthropic to integrate the Claude large language model into its software signifies a strategic move to enhance AI capabilities in enterprise solutions. This partnership also yields a guide for…

  • Cisco Talos Blog: Too salty to handle: Exposing cases of CSS abuse for hidden text salting

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    Kurt Seifried
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    Source URL: https://blog.talosintelligence.com/too-salty-to-handle-exposing-cases-of-css-abuse-for-hidden-text-salting/ Source: Cisco Talos Blog Title: Too salty to handle: Exposing cases of CSS abuse for hidden text salting Feedly Summary: A simple yet effective tactic, known as hidden text salting, is increasingly used by cybercriminals over the past few months to evade even the most advanced email security solutions, including those powered…

  • Simon Willison’s Weblog: a system that can do work independently on behalf of the user

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Oct/6/work-independently/ Source: Simon Willison’s Weblog Title: a system that can do work independently on behalf of the user Feedly Summary: I’ve settled on agents as meaning “LLMs calling tools in a loop to achieve a goal" but OpenAI continue to muddy the waters with much more vague definitions. Swyx spotted this one in…

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

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    Kurt Seifried
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    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,…

  • Scott Logic: Delegating the Grunt Work: AI Agents for UI Test Development

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    Kurt Seifried
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    Source URL: https://blog.scottlogic.com/2025/10/06/delegating-grunt-work.html Source: Scott Logic Title: Delegating the Grunt Work: AI Agents for UI Test Development Feedly Summary: UI automation testing is valuable but time-consuming, with on-going maintenance resulting from fragile selectors, asynchronous behaviors, and complex test paths. This blog post explores whether we can release ourselves from this burden by delegating it to…