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The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process. This approach allows organizations to …

LLM-as-a-judge on Amazon Bedrock Model Evaluation Read More »

Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. However, the journey from a proof of concept to a production-ready application comes with challenges and opportunities. Moving from proof of concept to production is about creating scalable, reliable, and impactful solutions that can drive …

From concept to reality: Navigating the Journey of RAG from proof of concept to production Read More »

In today’s rapidly evolving healthcare landscape, digital transformation is no longer a luxury but a necessity. One of the most critical components of this transformation is the electronic health record (EHR) system, which plays a pivotal role in healthcare operations and care delivery. Organizations are actively exploring alternatives for their traditional on-premises infrastructures to overcome …

Azure for mission-critical workloads in healthcare: EHR and beyond Read More »

Google and Institut Curie are embarking on a journey together to revolutionize the fight against women’s cancers.

This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in a single model. This cutting-edge model …

Meta SAM 2.1 is now available in Amazon SageMaker JumpStart Read More »

Today, we are excited to announce that the Falcon 3 family of models from TII are available in Amazon SageMaker JumpStart. In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI. Overview of the Falcon 3 family of models The Falcon 3 family, developed by Technology Innovation Institute (TII) in …

Falcon 3 models now available in Amazon SageMaker JumpStart Read More »

The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how to create an AI-powered virtual meteorologist …

Building a virtual meteorologist using Amazon Bedrock Agents Read More »

Microsoft’s AI agents are at the forefront of a significant transformation in modern business operations. These intelligent agents automate routine tasks, helping employees by freeing up valuable time to be more efficient, productive, and empowered to drive business—and industries are discovering their value. Across sectors such as finance, healthcare, and manufacturing, AI agents handle tasks …

AI agents at work: The new frontier in business automation Read More »

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems. Large-scale data ingestion is crucial for …

Amazon Q Business simplifies integration of enterprise knowledge bases at scale Read More »

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of …

Faster distributed graph neural network training with GraphStorm v0.4 Read More »