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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. The generative AI capability of QnAIntent in Amazon Lex lets you securely connect FMs to company data for RAG.

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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.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO

Agentic AIs, a form of technology designed to run specific functions within an organization without human intervention, are gaining traction as enterprises look to automate business workflows, augment the output of human workers, and derive value from generative AI.

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How to test large language models

InfoWorld

There’s significant buzz and excitement around using AI copilots to reduce manual work, improving software developer productivity with code generators, and innovating with generative AI. To read this article in full, please click here

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

These days that includes generative AI. According to Leung, Oracle has been particularly focused on providing generative AI capabilities via the cloud. “We We carefully considered how an enterprise’s business processes could be enhanced with generative AI,” he says.

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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.

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How ServiceNow gets the most out of generative AI

CIO

Competition among software vendors to be “the” platform on which enterprises build their IT infrastructure is intensifying, with the focus of late on how much noise they can make about their implementation of generative AI features. It’s not like we need less software engineers.