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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. For example, an AI-powered productivity tool for an ecommerce company might feature dedicated interfaces for different roles, such as content marketers and business analysts. Anthropics Claude 3.5

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Many commercial generative AI solutions available are expensive and require user-based licenses.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generative AI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.

Education 103
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Harness the power of MCP servers with Amazon Bedrock Agents

AWS Machine Learning - AI

In this post, we show you how to build an Amazon Bedrock agent that uses MCP to access data sources to quickly build generative AI applications. In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server. Eashan Kaushik is a Specialist Solutions Architect AI/ML at Amazon Web Services.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

People who miss events face significant obstacles accessing the knowledge shared, impacting sectors like education, media, and public sector where information recall is crucial. To address these challenges, Infosys partnered with Amazon Web Services (AWS) to develop the Infosys Event AI to unlock the insights generated during events.

Media 73
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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning - AI

With 19 million monthly readers, 20 Minutes is a major player in the French media landscape. The media organization delivers useful, relevant, and accessible information to an audience that consists primarily of young and active urban readers. These applications are a focus point for our generative AI efforts.