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Tag: multimodal model

  • AWS News Blog: AWS announces Pixtral Large 25.02 model in Amazon Bedrock serverless

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/aws-announces-pixtral-large-25-02-model-in-amazon-bedrock-serverless/ Source: AWS News Blog Title: AWS announces Pixtral Large 25.02 model in Amazon Bedrock serverless Feedly Summary: Mistral AI’s multimodal model, Pixtral Large 25.02, is now available in Amazon Bedrock as a fully managed, serverless offering with cross-Region inference support, multilingual capabilities, and a 128K context window that can process images alongside…

  • Simon Willison’s Weblog: Quoting Ahmed Al-Dahle

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/5/llama-4/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ahmed Al-Dahle Feedly Summary: The Llama series have been re-designed to use state of the art mixture-of-experts (MoE) architecture and natively trained with multimodality. We’re dropping Llama 4 Scout & Llama 4 Maverick, and previewing Llama 4 Behemoth. 📌 Llama 4 Scout is highest performing small…

  • Cloud Blog: Vertex AI Search and Generative AI (with Gemini) achieve FedRAMP High

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/public-sector/vertex-ai-search-and-generative-ai-with-gemini-achieve-fedramp-high/ Source: Cloud Blog Title: Vertex AI Search and Generative AI (with Gemini) achieve FedRAMP High Feedly Summary: In the rapidly evolving AI landscape, security remains paramount. Today, we reinforce that commitment with another significant achievement: FedRAMP High authorization for Google Vertex AI Search and Generative AI on Vertex AI.This follows our announcement…

  • Hacker News: (Recommendation Systems and Search) × LLMs

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    Kurt Seifried
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    Source URL: https://eugeneyan.com/writing/recsys-llm/ Source: Hacker News Title: (Recommendation Systems and Search) × LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in recommendation systems, particularly focusing on how large language models (LLMs) and multimodal approaches are incorporated into these systems to enhance performance. The exploration of unified architectures indicates a…

  • Cloud Blog: Vertex AI Search and Generative AI (with Gemini) achieve FedRAMP High

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/public-sector/vertex-ai-search-and-generative-ai-with-gemini-achieve-fedramp-high/ Source: Cloud Blog Title: Vertex AI Search and Generative AI (with Gemini) achieve FedRAMP High Feedly Summary: In the rapidly evolving AI landscape, security remains paramount. Today, we reinforce that commitment with another significant achievement: FedRAMP High authorization for Google Vertex AI Search and Generative AI on Vertex AI.This follows our announcement…

  • Cloud Blog: Five tips and tricks to improve your AI workloads

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reduce-cost-and-improve-your-ai-workloads/ Source: Cloud Blog Title: Five tips and tricks to improve your AI workloads Feedly Summary: Recently, we announced Gemini Code Assist for individuals, a free version of our AI coding assistant. Technology that was previously available only to the biggest enterprises is now within reach for startups and individual developers. The same…

  • Cloud Blog: Dynamic 5G services, made possible by AI and intent-based automation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/telecommunications/how-dynamic-5g-services-are-possible-with-ai/ Source: Cloud Blog Title: Dynamic 5G services, made possible by AI and intent-based automation Feedly Summary: The emergence of 5G networks opens a new frontier for connectivity, enabling advanced use cases that require ultra-low-latency, enhanced mobile broadband, and the Internet of Things (IoT) at scale. However, behind the promise of this hyper-connected…

  • Simon Willison’s Weblog: Quoting Mark Zuckerberg

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/30/mark-zuckerberg/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Mark Zuckerberg Feedly Summary: Llama 4 is making great progress in training. Llama 4 mini is done with pre-training and our reasoning models and larger model are looking good too. Our goal with Llama 3 was to make open source competitive with closed models, and our…