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Amazon Q Business is a generative AI-powered assistant that enhances employee productivity by solving problems, generating content, and providing insights across enterprise data sources. Beyond searching indexed third-party services, employees need access to dynamic, near real-time data such as stock prices, vacation balances, and location tracking, which is made possible through Amazon Q Business plugins. …

Automate actions across enterprise applications using Amazon Q Business plugins Read More »

Get a behind-the-scenes look at Google’s Quantum AI lab in Santa Barbara, CA.

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 …

Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow Read More »

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 …

Mistral-NeMo-Instruct-2407 and Mistral-NeMo-Base-2407 are now available on SageMaker JumpStart Read More »

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 …

Advancing AI trust with new responsible AI tools, capabilities, and resources Read More »

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 …

Deploy RAG applications on Amazon SageMaker JumpStart using FAISS Read More »

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 …

Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans Read More »

Learn more about the latest Pixel and Android updates, featuring the latest in Google AI innovation.

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 …

Unveiling the future of AI innovation for ISVs Read More »