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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

When users pose questions through the natural language interface, the chat agent determines whether to query the structured data in Amazon Athena through the Amazon Bedrock IDE function, search the Amazon Bedrock knowledge base, or combine both sources for comprehensive insights.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. These data sources provide contextual information and serve as a knowledge base for the LLM.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

The assistant can filter out irrelevant events (based on your organization’s policies), recommend actions, create and manage issue tickets in integrated IT service management (ITSM) tools to track actions, and query knowledge bases for insights related to operational events. It has several key components.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning - AI

Furthermore, by integrating a knowledge base containing organizational data, policies, and domain-specific information, the generative AI models can deliver more contextual, accurate, and relevant insights from the call transcripts.

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

AWS Machine Learning - AI

A second technique for customizing LLMs and other FMs for your business is retrieval augmented generation (RAG), which allows you to customize a model’s responses by augmenting your prompts with data from multiple sources, including document repositories, databases, and APIs. check availability of an item in the ERP inventory).

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning - AI

You can securely integrate and deploy generative AI capabilities into your applications using services such as AWS Lambda , enabling seamless data management, monitoring, and compliance (for more details, see Monitoring and observability ).