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Favorite We’re introducing Ironwood, our seventh-generation Tensor Processing Unit (TPU) designed to power the age of generative AI inference. View Original Source (blog.google/technology/ai/) Here.
Favorite Google Cloud adds supercomputing and AI capabilities to power new scientific discoveries and innovations. View Original Source (blog.google/technology/ai/) Here.
Favorite Here’s a look at what we announced at Google Cloud Next 25. View Original Source (blog.google/technology/ai/) Here.
Favorite The AI landscape is rapidly evolving, and more organizations are recognizing the power of synthetic data to drive innovation. However, enterprises looking to use AI face a major roadblock: how to safely use sensitive data. Stringent privacy regulations make it risky to use such data, even with robust anonymization.
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Shared by AWS Machine Learning April 9, 2025
Favorite Headquartered in São Paulo, Brazil, iFood is a national private company and the leader in food-tech in Latin America, processing millions of orders monthly. iFood has stood out for its strategy of incorporating cutting-edge technology into its operations. With the support of AWS, iFood has developed a robust machine
Read More Shared by AWS Machine Learning April 9, 2025
Favorite Learn how Google DeepMind and Google Cloud are helping to bring a cinema classic to larger-than-life in Las Vegas. View Original Source (blog.google/technology/ai/) Here.
Favorite In conversations around Open Source AI, a familiar idea keeps surfacing: that “openness is a spectrum.” It sounds convenient, especially when trying to reconcile proprietary data or partially open models with the ideals of Open Source. But let’s be clear: this is a flawed premise—and one the Open Source
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Shared by voicesofopensource April 8, 2025
Favorite Imagine being able to get complex insights about our planet — like the impacts of hurricanes or best locations for city infrastructure — simply by asking Gemini. Geospat… View Original Source (blog.google/technology/ai/) Here.
Favorite Developing generative AI agents that can tackle real-world tasks is complex, and building production-grade agentic applications requires integrating agents with additional tools such as user interfaces, evaluation frameworks, and continuous improvement mechanisms. Developers often find themselves grappling with unpredictable behaviors, intricate workflows, and a web of complex interactions. The
Read More Shared by AWS Machine Learning April 8, 2025
Favorite Prompt caching, now generally available on Amazon Bedrock with Anthropic’s Claude 3.5 Haiku and Claude 3.7 Sonnet, along with Nova Micro, Nova Lite, and Nova Pro models, lowers response latency by up to 85% and reduces costs up to 90% by caching frequently used prompts across multiple API calls.
Read More Shared by AWS Machine Learning April 8, 2025