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Tag: model family

  • Docker: IBM Granite 4.0 Models Now Available on Docker Hub

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    Kurt Seifried
    in

    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: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

  • Simon Willison’s Weblog: GPT-5: Key characteristics, pricing and model card

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/7/gpt-5/#atom-everything Source: Simon Willison’s Weblog Title: GPT-5: Key characteristics, pricing and model card Feedly Summary: I’ve had preview access to the new GPT-5 model family for the past two weeks, and have been using GPT-5 as my daily-driver. It’s my new favorite model. It’s still an LLM – it’s not a dramatic departure…

  • Simon Willison’s Weblog: My 2.5 year old laptop can write Space Invaders in JavaScript now

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/29/space-invaders/ Source: Simon Willison’s Weblog Title: My 2.5 year old laptop can write Space Invaders in JavaScript now Feedly Summary: I wrote about the new GLM-4.5 model family yesterday – new open weight (MIT licensed) models from Z.ai in China which their benchmarks claim score highly in coding even against models such as…

  • Simon Willison’s Weblog: Qwen/Qwen3-235B-A22B-Instruct-2507

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/22/qwen3-235b-a22b-instruct-2507/#atom-everything Source: Simon Willison’s Weblog Title: Qwen/Qwen3-235B-A22B-Instruct-2507 Feedly Summary: Qwen/Qwen3-235B-A22B-Instruct-2507 Significant new model release from Qwen, published yesterday without much fanfare. This is a follow-up to their April release of the full Qwen 3 model family, which included a Qwen3-235B-A22B model which could handle both reasoning and non-reasoning prompts (via a /no_think toggle).…

  • Simon Willison’s Weblog: Trying out the new Gemini 2.5 model family

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/17/gemini-2-5/ Source: Simon Willison’s Weblog Title: Trying out the new Gemini 2.5 model family Feedly Summary: After many months of previews, Gemini 2.5 Pro and Flash have reached general availability with new, memorable model IDs: gemini-2.5-pro and gemini-2.5-flash. They are joined by a new preview model with an unmemorable name: gemini-2.5-flash-lite-preview-06-17 is a…

  • Hamel’s Blog: LLM Eval FAQ

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    Kurt Seifried
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    Source URL: https://hamel.dev/blog/posts/evals-faq/ Source: Hamel’s Blog Title: LLM Eval FAQ Feedly Summary: Our Course On AI Evals I’m teaching a course on AI Evals with Shreya Shankar. Here are some of the most common questions we’ve been asked. We’ll be updating this list frequently. Q: Is RAG dead? Question: Should I avoid using RAG for…

  • Simon Willison’s Weblog: llm-mistral 0.14

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/29/llm-mistral-014/#atom-everything Source: Simon Willison’s Weblog Title: llm-mistral 0.14 Feedly Summary: llm-mistral 0.14 I added tool-support to my plugin for accessing the Mistral API from LLM today, plus support for Mistral’s new Codestral Embed embedding model. An interesting challenge here is that I’m not using an official client library for llm-mistral – I rolled…