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This post is co-written with Bar Fingerman from Bria. We are thrilled to announce that Bria 2.3, 2.2 HD, and 2.3 Fast text-to-image foundation models (FMs) from Bria AI are now available in Amazon SageMaker JumpStart. Bria models are trained exclusively on commercial-grade licensed data, providing high standards of safety and compliance with full legal …

Bria 2.3, Bria 2.2 HD, and Bria 2.3 Fast are now available in Amazon SageMaker JumpStart Read More »

We’re excited to announce the release of SageMaker Core, a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. This new SDK streamlines data processing, training, and inference and features resource chaining, intelligent defaults, and enhanced logging capabilities. With SageMaker Core, managing ML workloads on …

Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker Read More »

Amazon SageMaker Ground Truth is a powerful data labeling service offered by AWS that provides a comprehensive and scalable platform for labeling various types of data, including text, images, videos, and 3D point clouds, using a diverse workforce of human annotators. In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative …

Create a data labeling project with Amazon SageMaker Ground Truth Plus Read More »

Google Shopping uses AI to help you find more relevant products, discover personalized options and find the lowest prices.

Here’s a breakdown of on-device processing and how we’re working to make your devices better with local AI features.

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer …

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs Read More »

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. They orchestrate and analyze the tasks and break them down into the correct logical sequences using the reasoning abilities of the foundation model (FM). Agents automatically call the necessary APIs to interact with the company systems and …

Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents Read More »

Modern organizations increasingly depend on robust cloud infrastructure to provide business continuity and operational efficiency. Operational health events – including operational issues, software lifecycle notifications, and more – serve as critical inputs to cloud operations management. Inefficiencies in handling these events can lead to unplanned downtime, unnecessary costs, and revenue loss for organizations. However, managing …

Boost productivity by using AI in cloud operational health management Read More »

This post is cowritten with Ethan Handel and Zhiyuan He from Indeed.com. Indeed is the world’s #1 job site¹ and a leading global job matching and hiring marketplace. Our mission is to help people get jobs. At Indeed, we serve over 350 million global Unique Visitors  monthly² across more than 60 countries, powering millions of …

How Indeed builds and deploys fine-tuned LLMs on Amazon SageMaker Read More »

Agentic workflows are a fresh new perspective in building dynamic and complex business use case-based workflows with the help of large language models (LLMs) as their reasoning engine. These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and …

Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents Read More »