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Tag: model efficiency

  • Simon Willison’s Weblog: Introducing gpt-realtime

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/1/introducing-gpt-realtime/#atom-everything Source: Simon Willison’s Weblog Title: Introducing gpt-realtime Feedly Summary: Introducing gpt-realtime Released a few days ago (August 28th), gpt-realtime is OpenAI’s new “most advanced speech-to-speech model". It looks like this is a replacement for the older gpt-4o-realtime-preview model that was released last October. This is a slightly confusing release. The previous realtime…

  • The Cloudflare Blog: How Cloudflare runs more AI models on fewer GPUs: A technical deep-dive

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    Kurt Seifried
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    Source URL: https://blog.cloudflare.com/how-cloudflare-runs-more-ai-models-on-fewer-gpus/ Source: The Cloudflare Blog Title: How Cloudflare runs more AI models on fewer GPUs: A technical deep-dive Feedly Summary: Cloudflare built an internal platform called Omni. This platform uses lightweight isolation and memory over-commitment to run multiple AI models on a single GPU. AI Summary and Description: Yes Summary: The text discusses…

  • Cloud Blog: How startups can help build — and benefit from — the AI revolution

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/industry-leaders-on-whats-next-for-startups-and-ai/ Source: Cloud Blog Title: How startups can help build — and benefit from — the AI revolution Feedly Summary: Startups are at the forefront of generative AI development, pushing current capabilities and unlocking new potential. Building on our Future of AI: Perspectives for Startups 2025 report, several of the AI industry leaders…

  • The Register: How OpenAI used a new data type to cut inference costs by 75%

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/10/openai_mxfp4/ Source: The Register Title: How OpenAI used a new data type to cut inference costs by 75% Feedly Summary: Decision to use MXFP4 makes models smaller, faster, and more importantly, cheaper for everyone involved Analysis Whether or not OpenAI’s new open weights models are any good is still up for debate, but…

  • Simon Willison’s Weblog: Qwen3-4B Instruct and Thinking

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/6/qwen3-4b-instruct-and-thinking/ Source: Simon Willison’s Weblog Title: Qwen3-4B Instruct and Thinking Feedly Summary: Qwen3-4B Instruct and Thinking Yet another interesting model from Qwen—these are tiny compared to their other recent releases (just 4B parameters, 7.5GB on Hugging Face and even smaller when quantized) but with a 262,144 context length, which Qwen suggest is essential…

  • Enterprise AI Trends: ChatGPT Agent Mode, and "Vibe Automations"

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    Kurt Seifried
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    Source URL: https://blog.ainativefirm.com/p/chatgpt-agent-mode-and-vibe-automations Source: Enterprise AI Trends Title: ChatGPT Agent Mode, and "Vibe Automations" Feedly Summary: OpenAI will eat AI automations AI Summary and Description: Yes Summary: The introduction of “Agent Mode” in ChatGPT marks a significant evolution in AI-powered automation, transforming it from a simple conversational interface into a virtual assistant capable of managing…

  • Gemini: Gemini Diffusion is our new experimental research model.

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    Kurt Seifried
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    Source URL: https://blog.google/technology/google-deepmind/gemini-diffusion/ Source: Gemini Title: Gemini Diffusion is our new experimental research model. Feedly Summary: We’re always working on new approaches to improve our models, including making them more efficient and performant. Our latest research model, Gemini Diffusion, is a stat… AI Summary and Description: Yes Summary: The text discusses ongoing enhancements in model…

  • Simon Willison’s Weblog: Qwen3-8B

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/2/qwen3-8b/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-8B Feedly Summary: Having tried a few of the Qwen 3 models now my favorite is a bit of a surprise to me: I’m really enjoying Qwen3-8B. I’ve been running prompts through the MLX 4bit quantized version, mlx-community/Qwen3-8B-4bit. I’m using llm-mlx like this: llm install llm-mlx llm…

  • Simon Willison’s Weblog: Gemma 3 QAT Models

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/19/gemma-3-qat-models/ Source: Simon Willison’s Weblog Title: Gemma 3 QAT Models Feedly Summary: Gemma 3 QAT Models Interesting release from Google, as a follow-up to Gemma 3 from last month: To make Gemma 3 even more accessible, we are announcing new versions optimized with Quantization-Aware Training (QAT) that dramatically reduces memory requirements while maintaining…

  • Hacker News: Map Features in OpenStreetMap with Computer Vision

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    Kurt Seifried
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    Source URL: https://blog.mozilla.ai/map-features-in-openstreetmap-with-computer-vision/ Source: Hacker News Title: Map Features in OpenStreetMap with Computer Vision Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Mozilla.ai’s development of the OpenStreetMap AI Helper Blueprint, which utilizes computer vision models to enhance the mapping process while maintaining human verification. This innovation highlights the potential of AI…