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

Favorite This post is co-written with Saibal Samaddar, Tanushree Halder, and Lokesh Joshi from Infosys Consulting. Critical insights and expertise are concentrated among thought leaders and experts across the globe. Language barriers often hinder the distribution and comprehension of this knowledge during crucial encounters. Workshops, conferences, and training sessions serve

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Shared by AWS Machine Learning April 23, 2025

Accuracy evaluation framework for Amazon Q Business – Part 2

Favorite In the first post of this series, we introduced a comprehensive evaluation framework for Amazon Q Business, a fully managed Retrieval Augmented Generation (RAG) solution that uses your company’s proprietary data without the complexity of managing large language models (LLMs). The first post focused on selecting appropriate use cases,

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Shared by AWS Machine Learning April 23, 2025

Build an automated generative AI solution evaluation pipeline with Amazon Nova

Favorite Large language models (LLMs) have become integral to numerous applications across industries, ranging from enhanced customer interactions to automated business processes. Deploying these models in real-world scenarios presents significant challenges, particularly in ensuring accuracy, fairness, relevance, and mitigating hallucinations. Thorough evaluation of the performance and outputs of these models

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Shared by AWS Machine Learning April 22, 2025

Stream ingest data from Kafka to Amazon Bedrock Knowledge Bases using custom connectors

Favorite Retrieval Augmented Generation (RAG) enhances AI responses by combining the generative AI model’s capabilities with information from external data sources, rather than relying solely on the model’s built-in knowledge. In this post, we showcase the custom data connector capability in Amazon Bedrock Knowledge Bases that makes it straightforward to

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Shared by AWS Machine Learning April 19, 2025

Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

Favorite AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information,

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Shared by AWS Machine Learning April 19, 2025