Google Cloud Next 25
Favorite Here’s a look at what we announced at Google Cloud Next 25. View Original Source (blog.google/technology/ai/) Here.
Build an enterprise synthetic data strategy using Amazon Bedrock
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
How iFood built a platform to run hundreds of machine learning models with Amazon SageMaker Inference
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
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The AI magic behind Sphere’s upcoming 'The Wizard of Oz' experience
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.
There are no “Degrees of Open”: why Openness is binary
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
We’re introducing a new way to analyze geospatial data.
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.
Advanced tracing and evaluation of generative AI agents using LangChain and Amazon SageMaker AI MLFlow
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
Effectively use prompt caching on Amazon Bedrock
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
Multi-tenancy in RAG applications in a single Amazon Bedrock knowledge base with metadata filtering
Favorite Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies and AWS. Amazon Bedrock Knowledge Bases offers fully managed, end-to-end Retrieval Augmented Generation (RAG) workflows to create highly accurate, low-latency, secure, and custom generative AI applications by incorporating contextual
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Llama 4 family of models from Meta are now available in SageMaker JumpStart
Favorite Today, we’re excited to announce the availability of Llama 4 Scout and Maverick models in Amazon SageMaker JumpStart and coming soon in Amazon Bedrock. Llama 4 represents Meta’s most advanced multimodal models to date, featuring a mixture of experts (MoE) architecture and context window support up to 10 million tokens.
Read More Shared by AWS Machine Learning April 8, 2025