GenAI News
Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt...
Generative AI tools have transformed how we work, create, and process information. At Amazon Web Services (AWS), security is our top priority. Therefore, Amazon...
How Hexagon built an AI assistant using AWS generative AI services
This post was co-written with Julio P. Roque Hexagon ALI.
Recognizing the transformative benefits of generative AI for enterprises, we at Hexagon’s Asset Lifecycle Intelligence...
Build scalable containerized RAG based generative AI applications in AWS using...
Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional...
Build an intelligent community agent to revolutionize IT support with Amazon...
In the era of AI and machine learning (ML), there is a growing emphasis on enhancing security— especially in IT contexts. In this post,...
How Deutsche Bahn redefines forecasting using Chronos models – Now available...
This post is co-written with Kilian Zimmerer and Daniel Ringler from Deutsche Bahn.
Every day, Deutsche Bahn (DB) moves over 6.6 million passengers across Germany,...
Use custom metrics to evaluate your generative AI application with Amazon...
With Amazon Bedrock Evaluations, you can evaluate foundation models (FMs) and Retrieval Augmented Generation (RAG) systems, whether hosted on Amazon Bedrock or another model...
Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration
The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work...
Get faster and actionable AWS Trusted Advisor insights to make data-driven...
Our customers’ key strategic objectives are cost savings and building secure and resilient infrastructure. At AWS, we’re dedicated to helping you meet these critical...
WordFinder app: Harnessing generative AI on AWS for aphasia communication
In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof. David Copland, from QARC, and Scott Harding, a person living with...
Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock
Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although...
