Tag: Google Cloud Storage
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Cloud Blog: Build and refine your audio generation end-to-end with Gemini 1.5 Pro
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-build-a-podcast-with-gemini-1-5-pro/ Source: Cloud Blog Title: Build and refine your audio generation end-to-end with Gemini 1.5 Pro Feedly Summary: Generative AI is giving people new ways to experience audio content, from podcasts to audio summaries. For example, users are embracing NotebookLM’s recent Audio Overview feature, which turns documents into audio conversations. With one click,…
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Hacker News: Transactional Object Storage?
Source URL: https://blog.mbrt.dev/posts/transactional-object-storage/ Source: Hacker News Title: Transactional Object Storage? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the challenges and solutions in developing a portable and cost-effective database solution using object storage services like AWS S3 and Google Cloud Storage. By reinventing aspects of traditional databases, the author outlines a…
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Cloud Blog: How Commerzbank is transforming financial advisory workflows with gen AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-commerzbank-is-transforming-financial-advisory-workflows-with-gen-ai/ Source: Cloud Blog Title: How Commerzbank is transforming financial advisory workflows with gen AI Feedly Summary: In today’s fast-paced financial landscape, staying competitive requires embracing innovation and efficiency. Commerzbank, a leading German bank, recognized the potential to streamline its internal workflows, particularly within its financial advisory division for corporate clients. Given regulatory…
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Cloud Blog: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-handle-429-resource-exhaustion-errors-in-your-llms/ Source: Cloud Blog Title: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors Feedly Summary: Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to…
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Cloud Blog: Data loading best practices for AI/ML inference on GKE
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…