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Tag: language models

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

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    Kurt Seifried
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    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…

  • 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,…

  • Wired: Sam Altman Says the GPT-5 Haters Got It All Wrong

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/sam-altman-says-the-gpt-5-haters-got-it-all-wrong/ Source: Wired Title: Sam Altman Says the GPT-5 Haters Got It All Wrong Feedly Summary: OpenAI’s CEO explains that its large language model has been misunderstood—and that he’s changed his attitude to AGI. AI Summary and Description: Yes Summary: The text discusses OpenAI’s CEO addressing misconceptions surrounding the company’s large language model…

  • Docker: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/ai-science-agents-research-workflows/ Source: Docker Title: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows Feedly Summary: It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next…