Experimental News Clipping Site

Tag: llama

  • Simon Willison’s Weblog: Gemini Diffusion

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/21/gemini-diffusion/ Source: Simon Willison’s Weblog Title: Gemini Diffusion Feedly Summary: Gemini Diffusion Another of the announcements from Google I/O yesterday was Gemini Diffusion, Google’s first LLM to use diffusion (similar to image models like Imagen and Stable Diffusion) in place of transformers. Google describe it like this: Traditional autoregressive language models generate text…

  • AWS News Blog: AWS Weekly Roundup: Strands Agents, AWS Transform, Amazon Bedrock Guardrails, AWS CodeBuild, and more (May 19, 2025)

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-strands-agents-aws-transform-amazon-bedrock-guardrails-aws-codebuild-and-more-may-19-2025/ Source: AWS News Blog Title: AWS Weekly Roundup: Strands Agents, AWS Transform, Amazon Bedrock Guardrails, AWS CodeBuild, and more (May 19, 2025) Feedly Summary: Many events are taking place in this period! Last week I was at the AI Week in Italy. This week I’ll be in Zurich for the AWS Community…

  • Simon Willison’s Weblog: qwen2.5vl in Ollama

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/18/qwen25vl-in-ollama/#atom-everything Source: Simon Willison’s Weblog Title: qwen2.5vl in Ollama Feedly Summary: qwen2.5vl in Ollama Ollama announced a complete overhaul of their vision support the other day. Here’s the first new model they’ve shipped since then – a packaged version of Qwen 2.5 VL which was first released on January 26th 2025. Here are…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

  • Slashdot: Meta Delays ‘Behemoth’ AI Model Release

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    Kurt Seifried
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    Source URL: https://meta.slashdot.org/story/25/05/15/2022210/meta-delays-behemoth-ai-model-release?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Delays ‘Behemoth’ AI Model Release Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Meta’s delay in releasing its Llama 4 AI model, known as “Behemoth,” highlighting concerns over its advancement compared to previous models. This indicates potential challenges in the AI industry’s scaling strategy, which…

  • Simon Willison’s Weblog: Building software on top of Large Language Models

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/15/building-on-llms/#atom-everything Source: Simon Willison’s Weblog Title: Building software on top of Large Language Models Feedly Summary: I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they needed to get started writing code that…

  • Simon Willison’s Weblog: Trying out llama.cpp’s new vision support

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/10/llama-cpp-vision/#atom-everything Source: Simon Willison’s Weblog Title: Trying out llama.cpp’s new vision support Feedly Summary: This llama.cpp server vision support via libmtmd pull request – via Hacker News – was merged earlier today. The PR finally adds full support for vision models to the excellent llama.cpp project. It’s documented on this page, but the…

  • Cloud Blog: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-inference-updates-for-google-cloud-tpu-and-gpu/ Source: Cloud Blog Title: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Feedly Summary: From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications…