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Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Examples of applications include conversational search, customer support agent assistance, customer support analytics, self-service virtual assistants, chatbots, rich media generation, content moderation, coding companions to accelerate secure, high-performance software development, deeper insights …

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs Read More »

Amazon Q is a new generative AI-powered application that helps users get work done. Amazon Q can become your tailored business expert and let you discover content, brainstorm ideas, or create summaries using your company’s data safely and securely. You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take …

Deploy a Microsoft Teams gateway for Amazon Q, your business expert Read More »

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Building proofs of concept is relatively straightforward because cutting-edge foundation models are available from specialized providers through a simple API call. Therefore, organizations of various sizes …

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace Read More »

Three experimental generative AI features are coming to Chrome on Macs and Windows PCs to make browsing easier and more personalized.

Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, surpassing traditional optical character recognition (OCR). It can identify, understand, and extract data from tables and forms with remarkable accuracy. Presently, several companies rely on manual extraction methods or basic OCR software, which is tedious …

Build a vaccination verification solution using the Queries feature in Amazon Textract Read More »

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. Pre-trained language models (PLMs) are undergoing rapid commercial and enterprise adoption in the areas of productivity tools, customer service, search and recommendations, business process automation, and …

Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning Read More »

Cloud-native technologies like containers and Kubernetes are the future of application development. That’s why we’re honored to announce that Microsoft has been named a Leader in the 2023 Gartner® Magic Quadrant™ for Container Management*. We believe that this recognition validates our end-to-end approach for developing and deploying enterprise-grade, cloud-native apps that run on Azure, in …

Microsoft named a Leader in the 2023 Gartner® Magic Quadrant™ for Container Management Read More »

Learn more about Google for Startups Accelerator: AI First program for North American startups.

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. Using AWS Trainium and Inferentia based instances, through SageMaker, can help users lower fine-tuning costs by up to 50%, and lower deployment costs by 4.7x, while lowering per token latency. …

Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium Read More »

Geospatial data is data about specific locations on the earth’s surface. It can represent a geographical area as a whole or it can represent an event associated with a geographical area. Analysis of geospatial data is sought after in a few industries. It involves understanding where the data exists from a spatial perspective and why …

Use mobility data to derive insights using Amazon SageMaker geospatial capabilities Read More »