AI

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer

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Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. They orchestrate and analyze the tasks and break them down into the correct logical sequences using the reasoning abilities of the foundation model (FM). Agents automatically call the necessary APIs to interact with the company systems and

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Boost productivity by using AI in cloud operational health management

Modern organizations increasingly depend on robust cloud infrastructure to provide business continuity and operational efficiency. Operational health events – including operational issues, software lifecycle notifications, and more – serve as critical inputs to cloud operations management. Inefficiencies in handling these events can lead to unplanned downtime, unnecessary costs, and revenue loss for organizations. However, managing

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How Indeed builds and deploys fine-tuned LLMs on Amazon SageMaker

This post is cowritten with Ethan Handel and Zhiyuan He from Indeed.com. Indeed is the world’s #1 job site¹ and a leading global job matching and hiring marketplace. Our mission is to help people get jobs. At Indeed, we serve over 350 million global Unique Visitors  monthly² across more than 60 countries, powering millions of

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