Tag: e-learning

  • Cloud Blog: Companies achieve stronger results with Customer Engagement Suite, plus new AI-enabled capabilities

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/customer-engagement-suite-stronger-results-and-new-ai-features/ Source: Cloud Blog Title: Companies achieve stronger results with Customer Engagement Suite, plus new AI-enabled capabilities Feedly Summary: The demands for top-notch customer service have never been greater — but so are the rewards for those companies that can deliver on the promise. Indeed, organizations with higher customer loyalty scores have delivered…

  • Cloud Blog: How to deploy serverless AI with Gemma 3 on Cloud Run

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/serverless-ai-with-gemma-3-on-cloud-run/ Source: Cloud Blog Title: How to deploy serverless AI with Gemma 3 on Cloud Run Feedly Summary: Today, we introduced Gemma 3, a family of lightweight, open models built with the cutting-edge technology behind Gemini 2.0. The Gemma 3 family of models have been designed for speed and portability, empowering developers to…

  • Cloud Blog: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-hypercomputer-4-use-cases-tutorials-and-guides/ Source: Cloud Blog Title: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials Feedly Summary: AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and…

  • Cloud Blog: Introducing built-in performance monitoring for Vertex AI Model Garden

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/performance-monitoring-and-alerts-for-gen-ai-models-on-vertex-ai/ Source: Cloud Blog Title: Introducing built-in performance monitoring for Vertex AI Model Garden Feedly Summary: Today, we’re announcing built-in performance monitoring and alerts for Gemini and other managed foundation models – right from Vertex AI’s homepage. Monitoring the performance of generative AI models is crucial when building lightning-fast, reliable, and scalable applications.…

  • Simon Willison’s Weblog: Career Update: Google DeepMind -> Anthropic

    Source URL: https://simonwillison.net/2025/Mar/5/google-deepmind-anthropic/ Source: Simon Willison’s Weblog Title: Career Update: Google DeepMind -> Anthropic Feedly Summary: Career Update: Google DeepMind -> Anthropic Nicholas Carlini (previously) on joining Anthropic, driven partly by his frustration at friction he encountered publishing his research at Google DeepMind after their merge with Google Brain. His area of expertise is adversarial…

  • Wired: Pioneers of Reinforcement Learning Win the Turing Award

    Source URL: https://www.wired.com/story/pioneers-of-reward-based-machine-learning-win-turing-award/ Source: Wired Title: Pioneers of Reinforcement Learning Win the Turing Award Feedly Summary: Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work in the field has won two men the highest honor in computer science. AI Summary and Description: Yes Summary: The…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…