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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.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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Unlock the potential of generative AI in industrial operations

AWS Machine Learning - AI

Generative AI using large pre-trained foundation models (FMs) such as Claude can rapidly generate a variety of content from conversational text to computer code based on simple text prompts, known as zero-shot prompting. Answers are generated through the Amazon Bedrock knowledge base with a RAG approach.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

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The $400 billion opportunity for AI in customer service

CIO

She’s been replaced by a second-generation AI bot, Bo.) That could soon change thanks to the meteoric rise of generative AI, which promises to make bots’ chat more human by contextualizing customer requests and synthesizing natural-sounding language. With enterprise spending on generative AI projected to hit $1.3

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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning - AI

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. And at the top layer, we’ve been investing in game-changing applications in key areas like generative AI-based coding.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. LangChain is an open source Python library designed to build applications with LLMs.