Tag: deployment

  • Simon Willison’s Weblog: Gemini 2.5: Our most intelligent models are getting even better

    Source URL: https://simonwillison.net/2025/May/20/gemini-25/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.5: Our most intelligent models are getting even better Feedly Summary: Gemini 2.5: Our most intelligent models are getting even better A bunch of new Gemini 2.5 announcements at Google I/O today. 2.5 Flash and 2.5 Pro are both getting audio output (previously previewed in Gemini…

  • Slashdot: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning

    Source URL: https://tech.slashdot.org/story/25/05/20/1915256/googles-gemini-25-models-gain-deep-think-reasoning?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning Feedly Summary: AI Summary and Description: Yes Summary: Google has rolled out significant enhancements to its Gemini 2.5 AI models, particularly a new “Deep Think” reasoning mode that improves the models’ performance on complex tasks by allowing for hypothesis evaluation. These…

  • Cloud Blog: Managing GenAI with Chrome Enterprise

    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/managing-genai-with-chrome-enterprise/ Source: Cloud Blog Title: Managing GenAI with Chrome Enterprise Feedly Summary: GenAI is transforming the way people think about their work and giving businesses of all sizes an opportunity to re-imagine everything from their internal processes to the way they engage with their customers. These new capabilities are evolving at a rapid…

  • Gemini: Gemini Diffusion is our new experimental research model.

    Source URL: https://blog.google/technology/google-deepmind/gemini-diffusion/ Source: Gemini Title: Gemini Diffusion is our new experimental research model. Feedly Summary: We’re always working on new approaches to improve our models, including making them more efficient and performant. Our latest research model, Gemini Diffusion, is a stat… AI Summary and Description: Yes Summary: The text discusses ongoing enhancements in model…

  • Cloud Blog: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-studio-to-cloud-run-and-cloud-run-mcp-server/ Source: Cloud Blog Title: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents Feedly Summary: Cloud Run has become a go-to app hosting solution for its remarkable simplicity, flexibility, and scalability. But the age of AI-assisted development is here, and going from idea to…

  • Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But…

  • CSA: High-Profile AI Failures Teach Us About Resilience

    Source URL: https://cloudsecurityalliance.org/articles/when-ai-breaks-bad-what-high-profile-failures-teach-us-about-resilience Source: CSA Title: High-Profile AI Failures Teach Us About Resilience Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the vulnerabilities of artificial intelligence (AI) highlighted through significant real-world failures, emphasizing a new framework, the AI Resilience Benchmarking Model, developed by the Cloud Security Alliance (CSA). This model delineates methods…

  • Cloud Blog: Introducing the next generation of AI inference, powered by llm-d

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhancing-vllm-for-distributed-inference-with-llm-d/ Source: Cloud Blog Title: Introducing the next generation of AI inference, powered by llm-d Feedly Summary: As the world transitions from prototyping AI solutions to deploying AI at scale, efficient AI inference is becoming the gating factor. Two years ago, the challenge was the ever-growing size of AI models. Cloud infrastructure providers…