AWS re:Invent 2024 - Build scalable RAG applications using Amazon Bedrock Knowledge Bases (AIM305)

AWS re:Invent 2024 - Build scalable RAG applications using Amazon Bedrock Knowledge Bases (AIM305)

AWS re:Invent 2024-Unlocking power of structured data with Amazon Bedrock Knowledge Bases-AIM396-NEWПодробнее

AWS re:Invent 2024-Unlocking power of structured data with Amazon Bedrock Knowledge Bases-AIM396-NEW

Build a RAG based Generative AI Chatbot in 20 mins using Amazon Bedrock Knowledge BaseПодробнее

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AWS re:Invent 2024 - Using multiple agents for scalable generative AI applications (AIM304)Подробнее

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AWS re:Invent 2024 - Building RAG applications with Elasticsearch and Amazon Bedrock (AIM381)Подробнее

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AWS re:Invent 2024 - Building multi-agent RAG systems with Amazon Bedrock and SingleStore (AIM233)Подробнее

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Managed RAG Deployment on Amazon Bedrock - Deployed in MinutesПодробнее

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AWS re:Invent 2024 - Building an AWS solutions architect agentic app with Amazon Bedrock (DEV331)Подробнее

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AWS re:Invent 2024 - RAG and route: Enhancing networks to support Amazon Bedrock (NET211)Подробнее

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AWS re:Invent 2024 - Customizing models for enhanced results: Fine-tuning in Amazon Bedrock (AIM357)Подробнее

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AWS re:Invent 2024 - Streamline RAG and model evaluation with Amazon Bedrock (AIM359)Подробнее

AWS re:Invent 2024 - Streamline RAG and model evaluation with Amazon Bedrock (AIM359)

AWS re:Invent 2023 - Use RAG to improve responses in generative AI applications (AIM336)Подробнее

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Easily implement retrieval augmented generation workflows using Knowledge Bases for Amazon BedrockПодробнее

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AWS re:Invent 2024 - Creating a data foundation using Amazon Bedrock for gen AI and RAG (AIM231)Подробнее

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AWS re:Invent 2024 - Supercharge your DevOps practices with generative AI (DEV321)Подробнее

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