Tag: AWS Management Console
Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock | Amazon Web Services
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Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 | Amazon Web Services
Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering...
Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center | Amazon Web Services
Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an...
Advanced RAG patterns on Amazon SageMaker | Amazon Web Services
Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS),...
Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI | Amazon Web Services
In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru...
Gemma is now available in Amazon SageMaker JumpStart | Amazon Web Services
Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on...
Moderate audio and text chats using AWS AI services and LLMs | Amazon Web Services
Online gaming and social communities offer voice and text chat functionality for their users to communicate. Although voice and text chat often support friendly...
Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service | Amazon Web Services
OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0...
Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services
AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres...
Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart | Amazon Web Services
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of...
Deploy a Microsoft Teams gateway for Amazon Q, your business expert | Amazon Web Services
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...
Inference Llama 2 models with real-time response streaming using Amazon SageMaker | Amazon Web Services
With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency...
Deploy a Slack gateway for Amazon Q, your business expert | Amazon Web Services
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...