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Tag: model weights

  • 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…

  • 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,…

  • Simon Willison’s Weblog: Grok 4 Fast

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/20/grok-4-fast/ Source: Simon Willison’s Weblog Title: Grok 4 Fast Feedly Summary: Grok 4 Fast New hosted reasoning model from xAI that’s designed to be fast and extremely competitive on price. It has a 2 million token context window and “was trained end-to-end with tool-use reinforcement learning". It’s priced at $0.20/million input tokens and…

  • Slashdot: Switzerland Releases Open-Source AI Model Built For Privacy

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/09/03/2125252/switzerland-releases-open-source-ai-model-built-for-privacy?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Switzerland Releases Open-Source AI Model Built For Privacy Feedly Summary: AI Summary and Description: Yes Summary: Switzerland’s launch of Apertus, a fully open-source multilingual LLM, emphasizes transparency and privacy in AI development. By providing open access to the model’s components and adhering to stringent Swiss data protection laws, Apertus…

  • Simon Willison’s Weblog: Claude Opus 4.1 and Opus 4 degraded quality

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/30/claude-degraded-quality/#atom-everything Source: Simon Willison’s Weblog Title: Claude Opus 4.1 and Opus 4 degraded quality Feedly Summary: Claude Opus 4.1 and Opus 4 degraded quality Notable because often when people complain of degraded model quality it turns out to be unfounded – Anthropic in the past have emphasized that they don’t change the model…

  • Simon Willison’s Weblog: Open weight LLMs exhibit inconsistent performance across providers

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/15/inconsistent-performance/ Source: Simon Willison’s Weblog Title: Open weight LLMs exhibit inconsistent performance across providers Feedly Summary: Artificial Analysis published a new benchmark the other day, this time focusing on how an individual model – OpenAI’s gpt-oss-120b – performs across different hosted providers. The results showed some surprising differences. Here’s the one with the…

  • Cloud Blog: Start and scale your apps faster with improved container image streaming in GKE

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improving-gke-container-image-streaming-for-faster-app-startup/ Source: Cloud Blog Title: Start and scale your apps faster with improved container image streaming in GKE Feedly Summary: In today’s fast-paced cloud-native world, the speed at which your applications can start and scale is paramount. Faster pod startup times mean quicker responses to user demand, more efficient resource utilization, and a…