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Tag: cpp

  • Simon Willison’s Weblog: Introducing EmbeddingGemma

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/4/embedding-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Introducing EmbeddingGemma Feedly Summary: Introducing EmbeddingGemma Brand new open weights (under the slightly janky Gemma license) 308M parameter embedding model from Google: Based on the Gemma 3 architecture, EmbeddingGemma is trained on 100+ languages and is small enough to run on less than 200MB of RAM with…

  • Slashdot: Firefox 142’s Link Previews Have a New Option: AI-Generated Summaries

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/08/24/0547251/firefox-142s-link-previews-have-a-new-option-ai-generated-summaries Source: Slashdot Title: Firefox 142’s Link Previews Have a New Option: AI-Generated Summaries Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the new features in Firefox 142, particularly its incorporation of AI for generating summaries of linked content and support for LLM (Large Language Model) extensions. This advancement has…

  • The Register: Tinker with LLMs in the privacy of your own home using Llama.cpp

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/24/llama_cpp_hands_on/ Source: The Register Title: Tinker with LLMs in the privacy of your own home using Llama.cpp Feedly Summary: Everything you need to know to build, run, serve, optimize and quantize models on your PC Hands on Training large language models (LLMs) may require millions or even billion of dollars of infrastructure, but…

  • Simon Willison’s Weblog: llama.cpp guide: running gpt-oss with llama.cpp

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/19/gpt-oss-with-llama-cpp/ Source: Simon Willison’s Weblog Title: llama.cpp guide: running gpt-oss with llama.cpp Feedly Summary: llama.cpp guide: running gpt-oss with llama.cpp Really useful official guide to running the OpenAI gpt-oss models using llama-server from llama.cpp – which provides an OpenAI-compatible localhost API and a neat web interface for interacting with the models. TLDR version…

  • 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…

  • Simon Willison’s Weblog: OpenAI’s new open weight (Apache 2) models are really good

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/5/gpt-oss/ Source: Simon Willison’s Weblog Title: OpenAI’s new open weight (Apache 2) models are really good Feedly Summary: The long promised OpenAI open weight models are here, and they are very impressive. They’re available under proper open source licenses – Apache 2.0 – and come in two sizes, 120B and 20B. OpenAI’s own…

  • Simon Willison’s Weblog: Introducing Gemma 3n: The developer guide

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/26/gemma-3n/ Source: Simon Willison’s Weblog Title: Introducing Gemma 3n: The developer guide Feedly Summary: Introducing Gemma 3n: The developer guide Extremely consequential new open weights model release from Google today: Multimodal by design: Gemma 3n natively supports image, audio, video, and text inputs and text outputs. Optimized for on-device: Engineered with a focus…

  • Docker: Behind the scenes: How we designed Docker Model Runner and what’s next

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/behind-the-scenes-how-we-designed-docker-model-runner-and-whats-next/ Source: Docker Title: Behind the scenes: How we designed Docker Model Runner and what’s next Feedly Summary: The last few years have made it clear that AI models will continue to be a fundamental component of many applications. The catch is that they’re also a fundamentally different type of component, with complex…