Llama 3 – Experimental News Clipping Site

Cloud Blog: Scaling high-performance inference cost-effectively

Sep 10, 2025

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gke-inference-gateway-and-quickstart-are-ga/ Source: Cloud Blog Title: Scaling high-performance inference cost-effectively Feedly Summary: At Google Cloud Next 2025, we announced new inference capabilities with GKE Inference Gateway, including support for vLLM on TPUs, Ironwood TPUs, and Anywhere Cache. Our inference solution is based on AI Hypercomputer, a system built on our experience running models like…

Simon Willison’s Weblog: Load Llama-3.2 WebGPU in your browser from a local folder

Sep 8, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/Sep/8/webgpu-local-folder/#atom-everything Source: Simon Willison’s Weblog Title: Load Llama-3.2 WebGPU in your browser from a local folder Feedly Summary: Load Llama-3.2 WebGPU in your browser from a local folder Inspired by a comment on Hacker News I decided to see if it was possible to modify the transformers.js-examples/tree/main/llama-3.2-webgpu Llama 3.2 chat demo (online here,…

Cloud Blog: 25+ top gen AI how-to guides for enterprise

Jul 22, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there. To that end,…

Simon Willison’s Weblog: How to run an LLM on your laptop

Jul 18, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/Jul/18/how-to-run-an-llm-on-your-laptop/ Source: Simon Willison’s Weblog Title: How to run an LLM on your laptop Feedly Summary: How to run an LLM on your laptop I talked to Grace Huckins for this piece from MIT Technology Review on running local models. Apparently she enjoyed my dystopian backup plan! Simon Willison has a plan for…

Slashdot: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book

Jun 15, 2025

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Kurt Seifried

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Source URL: https://slashdot.org/story/25/06/15/2230206/metas-llama-31-can-recall-42-of-the-first-harry-potter-book?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book Feedly Summary: AI Summary and Description: Yes Summary: The text discusses significant findings from a research study that highlights the memorization capabilities of Llama 3.1 70B, an AI model from Meta. It raises concerns about potential legal…

Simon Willison’s Weblog: The last year six months in LLMs, illustrated by pelicans on bicycles

Jun 6, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/Jun/6/six-months-in-llms/#atom-everything Source: Simon Willison’s Weblog Title: The last year six months in LLMs, illustrated by pelicans on bicycles Feedly Summary: I presented an invited keynote at the AI Engineer World’s Fair in San Francisco this week. This is my third time speaking at the event – here’s my talks from October 2023 and…

Simon Willison’s Weblog: Shisa V2 405B: Japan’s Highest Performing LLM

Jun 3, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/Jun/3/shisa-v2/ Source: Simon Willison’s Weblog Title: Shisa V2 405B: Japan’s Highest Performing LLM Feedly Summary: Shisa V2 405B: Japan’s Highest Performing LLM Leonard Lin and Adam Lensenmayer have been working on Shisa for a while. They describe their latest release as “Japan’s Highest Performing LLM". Shisa V2 405B is the highest-performing LLM ever…

Simon Willison’s Weblog: deepseek-ai/DeepSeek-R1-0528

May 31, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/May/31/deepseek-aideepseek-r1-0528/ Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-R1-0528 Feedly Summary: deepseek-ai/DeepSeek-R1-0528 Sadly the trend for terrible naming of models has infested the Chinese AI labs as well. DeepSeek-R1-0528 is a brand new and much improved open weights reasoning model from DeepSeek, a major step up from the DeepSeek R1 they released back in January.…

Simon Willison’s Weblog: We did the math on AI’s energy footprint. Here’s the story you haven’t heard.

May 20, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/May/20/ai-energy-footprint/#atom-everything Source: Simon Willison’s Weblog Title: We did the math on AI’s energy footprint. Here’s the story you haven’t heard. Feedly Summary: We did the math on AI’s energy footprint. Here’s the story you haven’t heard. James O’Donnell and Casey Crownhart try to pull together a detailed account of AI energy usage for…

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

May 9, 2025

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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…

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