Experimental News Clipping Site

Tag: weight

  • 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: 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,…

  • Cloud Blog: 11 ways to reduce your Google Cloud compute costs today

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/cost-saving-strategies-when-migrating-to-google-cloud-compute/ Source: Cloud Blog Title: 11 ways to reduce your Google Cloud compute costs today Feedly Summary: As the saying goes, “a penny saved is a penny earned," and this couldn’t be more true when it comes to cloud infrastructure. In today’s competitive business landscape, you need to maintain the performance to meet…

  • Cloud Blog: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/gemini-and-vertex-ai-for-spark-with-dataproc-ml-library/ Source: Cloud Blog Title: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library Feedly Summary: Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models,…

  • Docker: Fine-Tuning Local Models with Docker Offload and Unsloth

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/fine-tuning-models-with-offload-and-unsloth/ Source: Docker Title: Fine-Tuning Local Models with Docker Offload and Unsloth Feedly Summary: I’ve been experimenting with local models for a while now, and the progress in making them accessible has been exciting. Initial experiences are often fantastic, many models, like Gemma 3 270M, are lightweight enough to run on common hardware.…

  • Cloud Blog: From legacy complexity to Google-powered innovation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/from-legacy-complexity-to-google-powered-innovation/ Source: Cloud Blog Title: From legacy complexity to Google-powered innovation Feedly Summary: Editor’s note: Today’s post is by Syed Mohammad Mujeeb, CIO and Arsalan Mazhar, Head of Infrastructure, for JS Bank a prominent and rapidly growing midsize commercial bank in Pakistan with a strong national presence of over 293 branches. JS Bank,…

  • Simon Willison’s Weblog: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/23/qwen3-vl/ Source: Simon Willison’s Weblog Title: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action Feedly Summary: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action I’ve been looking forward to this. Qwen 2.5 VL is one of the best available open weight vision LLMs, so I had high hopes for Qwen 3’s vision models. Firstly, we…

  • Cloud Blog: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/customers/escalante-uses-jax-on-tpus-for-ai-driven-protein-design/ Source: Cloud Blog Title: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design Feedly Summary: As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function…

  • Simon Willison’s Weblog: Four new releases from Qwen

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/22/qwen/ Source: Simon Willison’s Weblog Title: Four new releases from Qwen Feedly Summary: It’s been an extremely busy day for team Qwen. Within the last 24 hours (all links to Twitter, which seems to be their preferred platform for these announcements): Qwen3-Next-80B-A3B-Instruct-FP8 and Qwen3-Next-80B-A3B-Thinking-FP8 – official FP8 quantized versions of their Qwen3-Next models.…

  • Simon Willison’s Weblog: CompileBench: Can AI Compile 22-year-old Code?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/22/compilebench/ Source: Simon Willison’s Weblog Title: CompileBench: Can AI Compile 22-year-old Code? Feedly Summary: CompileBench: Can AI Compile 22-year-old Code? Interesting new LLM benchmark from Piotr Grabowski and Piotr Migdał: how well can different models handle compilation challenges such as cross-compiling gucr for ARM64 architecture? This is one of my favorite applications of…