Remove Artificial Intelligence Remove Generative AI Remove Knowledge Base Remove Lambda
article thumbnail

ChatGPT, the rise of generative AI

CIO

Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organizations. It’s only one example of generative AI. GPT stands for generative pre-trained transformer. What is ChatGPT?

article thumbnail

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning - AI

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. In turn, customers can ask a variety of questions and receive accurate answers powered by generative AI.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Streamline generative AI development in Amazon Bedrock with Prompt Management and Prompt Flows (preview)

AWS Machine Learning - AI

These features are designed to accelerate the development, testing, and deployment of generative artificial intelligence (AI) applications, enabling developers and business users to create more efficient and effective solutions that are easier to maintain. The following diagram illustrates this workflow.

article thumbnail

Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart

AWS Machine Learning - AI

Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.

article thumbnail

Harnessing the Power of AWS Bedrock through CloudFormation

Perficient

The rapid advancement of artificial intelligence (AI) has led to the development of foundational models that form the bedrock of numerous AI applications. AWS Bedrock is Amazon Web Services’ comprehensive solution that leverages these models to provide robust AI and machine learning (ML) capabilities.

AWS 52
article thumbnail

Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases

AWS Machine Learning - AI

With a user base of over 37 million active consumers and 2 million monthly active Dashers at the end of 2023, the company recognized the need to reduce the burden on its live agents by providing a more efficient self-service experience for Dashers. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

article thumbnail

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. System integration – Agents make API calls to integrated company systems to run specific actions.