Tag: faang

Agents are revolutionizing the landscape of generative AI, serving as the bridge between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to become the cornerstone of AI adoption across industries, heralding a new era of human-AI collaboration and problem-solving. By using the power of LLMs and combining them with specialized …

Read more “Build a Multi-Agent System with LangGraph and Mistral on AWS”

Today, we’re announcing built-in performance monitoring and alerts for Gemini and other managed foundation models – right from Vertex AI’s homepage. Monitoring the performance of generative AI models is crucial when building lightning-fast, reliable, and scalable applications. But understanding the performance of these models has historically had a steep learning curve: in the past, you …

Read more “Introducing built-in performance monitoring for Vertex AI Model Garden”

This post was co-authored with Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, and Luisa-Sophie Gloger from BMW Group. The BMW Group—headquartered in Munich, Germany—is a vehicle manufacturer with more than 154,000 employees, and 30 production and assembly facilities worldwide as well as research and development locations across 17 countries. Today, the BMW Group (BMW) is the …

Read more “Innovating at speed: BMW’s generative AI solution for cloud incident analysis”

As AI use increases, security remains a top concern, and we often hear that organizations are worried about risks that can come with rapid adoption. Google Cloud is committed to helping our customers confidently build and deploy AI in a secure, compliant, and private manner. Today, we’re introducing a new solution that can help you …

Read more “Announcing AI Protection: Security for the AI era”

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize …

Read more “Accelerate AWS Well-Architected reviews with Generative AI”

Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To achieve optimal performance for specific use cases, customers are adopting and adapting these FMs to their unique domain requirements. This need for customization has become even more pronounced with the emergence of new models, such as those released …

Read more “Customize DeepSeek-R1 distilled models using Amazon SageMaker HyperPod recipes – Part 1”

A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which makes it easier to do a lot of things – from image generation to creative writing. It’s also changed how …

Read more “Use Gemini 2.0 to speed up document extraction and lower costs”

Amazon Q Business is a fully managed, generative AI–powered assistant that empowers enterprises to unlock the full potential of their data and organizational knowledge. With Amazon Q Business, you can quickly access answers to questions, generate summaries and content, and complete tasks by using the expertise and information stored across various data sources and enterprise …

Read more “Streamline work insights with the Amazon Q Business connector for Smartsheet”