Tag: cloud storage
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AWS News Blog: Luma AI’s Ray2 video model is now available in Amazon Bedrock
Source URL: https://aws.amazon.com/blogs/aws/luma-ai-ray-2-video-model-is-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: Luma AI’s Ray2 video model is now available in Amazon Bedrock Feedly Summary: Amazon Bedrock now offers Luma AI’s Ray2 video model, enabling users to generate high-quality, 5 or 9 second video clips with 540p and 720p resolution from text prompts, marking AWS as the exclusive cloud…
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Hacker News: Leaked documents expose deep ties between Israeli army and Microsoft
Source URL: https://www.972mag.com/microsoft-azure-openai-israeli-army-cloud/ Source: Hacker News Title: Leaked documents expose deep ties between Israeli army and Microsoft Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant dependencies of the Israeli military on Microsoft’s cloud and AI services, especially since the onset of military operations in Gaza. This highlights critical concerns about…
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Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…
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Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…