Gemini 3.1 Flash Live: Making audio AI more natural and reliable
Favorite Gemini 3.1 Flash Live is now available across Google products. View Original Source (blog.google/technology/ai/) Here.
Search Live is expanding globally
Favorite We’re expanding Search Live globally, to all languages and locations where AI Mode is available. View Original Source (blog.google/technology/ai/) Here.
Build with Lyria 3, our newest music generation model
Favorite Lyria 3 is now available in paid preview through the Gemini API and for testing in Google AI Studio. View Original Source (blog.google/technology/ai/) Here.
Lyria 3 Pro: Create longer tracks in more Google products
Favorite We are bringing Lyria 3 to the tools where professionals work and create every day. View Original Source (blog.google/technology/ai/) Here.
Use RAG for video generation using Amazon Bedrock and Amazon Nova Reel
Favorite Generating high-quality custom videos remains a significant challenge, because video generation models are limited to their pre-trained knowledge. This limitation affects industries such as advertising, media production, education, and gaming, where customization and control of video generation is essential. To address this, we developed a Video Retrieval Augmented Generation
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Shared by AWS Machine Learning March 20, 2026
Run NVIDIA Nemotron 3 Super on Amazon Bedrock
Favorite Nemotron 3 Super is now available as a fully managed and serverless model on Amazon Bedrock, joining the Nemotron Nano models that are already available within the Amazon Bedrock environment. With NVIDIA Nemotron open models on Amazon Bedrock, you can accelerate innovation and deliver tangible business value without managing
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Migrate from Amazon Nova 1 to Amazon Nova 2 on Amazon Bedrock
Favorite If you’re running Amazon Nova 1 models on Amazon Bedrock, you might be looking to expand your context window size, deepen reasoning capabilities, or integrate external tools for web search and code execution. Amazon Nova 2 models address these constraints while improving performance on reasoning, agentic AI, and tool
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How Bark.com and AWS collaborated to build a scalable video generation solution
Favorite This post is cowritten with Hammad Mian and Joonas Kukkonen from Bark.com. When scaling video content creation, many companies face the challenge of maintaining quality while reducing production time. This post demonstrates how Bark.com and AWS collaborated to solve this problem, showing you a replicable approach for AI-powered content
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Build an AI-Powered A/B testing engine using Amazon Bedrock
Favorite Organizations commonly rely on A/B testing to optimize user experience, messaging, and conversion flows. However, traditional A/B testing assigns users randomly and requires weeks of traffic to reach statistical significance. While effective, this process can be slow and might not fully leverage early signals in user behavior. This post
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Evaluating AI agents for production: A practical guide to Strands Evals
Favorite Moving AI agents from prototypes to production surfaces a challenge that traditional testing is unable to address. Agents are flexible, adaptive, and context-aware by design, but the same qualities that make them powerful also make them difficult to evaluate systematically. Traditional software testing relies on deterministic outputs: same input,
Read More Shared by AWS Machine Learning March 18, 2026