Favorite At I/O 2025, we shared updates to our Gemini 2.5 model series and Deep Think, an experimental enhanced reasoning mode for 2.5 Pro. View Original Source (blog.google/technology/ai/) Here.
Favorite Learn about the new SynthID Detector portal we announced at I/O to help people understand how the content they see online was generated. View Original Source (blog.google/technology/ai/) Here.
Favorite From Imagen 4 and Veo 3 to Flow, try these new generative media tools today. View Original Source (blog.google/technology/ai/) Here.
Favorite We’re doing cutting-edge research to build the most helpful AI that’s more intelligent, agentic and personalized. View Original Source (blog.google/technology/ai/) Here.
Favorite This blog post is co-written with Jonas Neuman from HERE Technologies. HERE Technologies, a 40-year pioneer in mapping and location technology, collaborated with the AWS Generative AI Innovation Center (GenAIIC) to enhance developer productivity with a generative AI-powered coding assistant. This innovative tool is designed to enhance the onboarding
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Shared by AWS Machine Learning May 20, 2025
Favorite We’re launching the new NotebookLM app, designed to help people understand anything, anywhere. View Original Source (blog.google/technology/ai/) Here.
Favorite This post is co-authored by Manuel Lopez Roldan, SiMa.ai, and Jason Westra, AWS Senior Solutions Architect. Are you looking to deploy machine learning (ML) models at the edge? With Amazon SageMaker AI and SiMa.ai’s Palette Edgematic platform, you can efficiently build, train, and deploy optimized ML models at the
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Shared by AWS Machine Learning May 17, 2025
Favorite As one of the fastest sports in the world, almost everything is a race in Formula 1® (F1), even the pit stops. F1 drivers need to stop to change tires or make repairs to damage sustained during a race. Each precious tenth of a second the car is in
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Shared by AWS Machine Learning May 17, 2025
Favorite With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data that the large language model (LLM) was not trained on.
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Shared by AWS Machine Learning May 17, 2025
Favorite Businesses are constantly evolving, and leaders are challenged every day to meet new requirements and are seeking ways to optimize their operations and gain a competitive edge. One of the key challenges they face is managing the complexity of disparate business systems and workflows, which leads to inefficiencies, data
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Shared by AWS Machine Learning May 17, 2025