Go inside the Google Quantum AI lab to learn about how quantum computing works
Get a behind-the-scenes look at Google’s Quantum AI lab in Santa Barbara, CA.
Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow
With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker, users want a seamless and secure way to experiment with and select the models that deliver the most value for their business. In the initial stages of an ML …
Geocoding: The first step towards unlocking location intelligence
Microsoft Azure Maps is a collection of mapping and location APIs that enable enterprises to add location intelligence into their solutions. The Geocoding Service is one of the most prominently used Maps APIs that enables geocoding of addresses (conversion of textual addresses into geographic coordinates) and vice versa. For example, a coffee shop name or …
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Mistral-NeMo-Instruct-2407 and Mistral-NeMo-Base-2407 are now available on SageMaker JumpStart
Today, we are excited to announce that Mistral-NeMo-Base-2407 and Mistral-NeMo-Instruct-2407—twelve billion parameter large language models from Mistral AI that excel at text generation—are available for customers through Amazon SageMaker JumpStart. You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for …
Advancing AI trust with new responsible AI tools, capabilities, and resources
As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. This belief is at the heart of our long-standing commitment to building …
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Deploy RAG applications on Amazon SageMaker JumpStart using FAISS
Generative AI has empowered customers with their own information in unprecedented ways, reshaping interactions across various industries by enabling intuitive and personalized experiences. This transformation is significantly enhanced by Retrieval Augmented Generation (RAG), which is a generative AI pattern where the large language model (LLM) being used references a knowledge corpus outside of its training …
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Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans
Today, organizations are constantly seeking ways to use advanced large language models (LLMs) for their specific needs. These organizations are engaging in both pre-training and fine-tuning massive LLMs, with parameter counts in the billions. This process aims to enhance model efficacy for a wide array of applications across diverse sectors, including healthcare, financial services, and …
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New AI features and more for Android and Pixel
Learn more about the latest Pixel and Android updates, featuring the latest in Google AI innovation.
Unveiling the future of AI innovation for ISVs
In today’s rapidly evolving digital landscape, software companies are at the forefront of innovation. These organizations are uniquely positioned to take advantage of AI-powered solutions to drive growth, enhance customer experiences, and stay ahead of the competition. AI is opening the door to valuable opportunities for software companies by accelerating cloud migration, app modernization, and …
Amazon Bedrock Marketplace now includes NVIDIA models: Introducing NVIDIA Nemotron-4 NIM microservices
This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA. At AWS re:Invent 2024, we are excited to introduce Amazon Bedrock Marketplace. This a revolutionary new capability within Amazon Bedrock that serves as a centralized hub for discovering, testing, and implementing foundation models (FMs). It provides developers and organizations …