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Tag: Llama 3

  • Simon Willison’s Weblog: Locally AI

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/21/locally-ai/ Source: Simon Willison’s Weblog Title: Locally AI Feedly Summary: Locally AI Handy new iOS app by Adrien Grondin for running local LLMs on your phone. It just added support for the new iOS 26 Apple Foundation model, so you can install this app and instantly start a conversation with that model without…

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

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    Kurt Seifried
    in

    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

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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

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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

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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: Shisa V2 405B: Japan’s Highest Performing LLM

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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

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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.…