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Tag: model accuracy

  • 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,…

  • Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…

  • Cloud Blog: The AI-driven telecom: A new era of network transformation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/telecommunications/the-ai-driven-telecom-a-new-era-of-network-transformation/ Source: Cloud Blog Title: The AI-driven telecom: A new era of network transformation Feedly Summary: The telecommunications industry is undergoing a profound transformation, with AI and generative AI emerging as key catalysts. Communication service providers (CSPs) are increasingly recognizing that these technologies are not merely incremental improvements but fundamental drivers for achieving…

  • Cloud Blog: Palo Alto Networks’ journey to productionizing gen AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/partners/how-palo-alto-networks-builds-gen-ai-solutions/ Source: Cloud Blog Title: Palo Alto Networks’ journey to productionizing gen AI Feedly Summary: At Google Cloud, we empower businesses to accelerate their generative AI innovation cycle by providing a path from prototype to production. Palo Alto Networks, a global cybersecurity leader, partnered with Google Cloud to develop an innovative security posture…

  • Simon Willison’s Weblog: OpenAI o3 and o4-mini System Card

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/21/openai-o3-and-o4-mini-system-card/ Source: Simon Willison’s Weblog Title: OpenAI o3 and o4-mini System Card Feedly Summary: OpenAI o3 and o4-mini System Card I’m surprised to see a combined System Card for o3 and o4-mini in the same document – I’d expect to see these covered separately. The opening paragraph calls out the most interesting new…

  • Simon Willison’s Weblog: Quoting Andrew Ng

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/18/andrew-ng/ Source: Simon Willison’s Weblog Title: Quoting Andrew Ng Feedly Summary: To me, a successful eval meets the following criteria. Say, we currently have system A, and we might tweak it to get a system B: If A works significantly better than B according to a skilled human judge, the eval should give…

  • Hacker News: SVDQuant+NVFP4: 4× Smaller, 3× Faster FLUX with 16-bit Quality on Blackwell GPUs

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    Kurt Seifried
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    Source URL: https://hanlab.mit.edu/blog/svdquant-nvfp4 Source: Hacker News Title: SVDQuant+NVFP4: 4× Smaller, 3× Faster FLUX with 16-bit Quality on Blackwell GPUs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of SVDQuant, a new low-precision quantization paradigm that supports NVIDIA’s NVFP4 architecture on Blackwell GPUs. It highlights significant improvements in model accuracy,…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…