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

Automate video insights for contextual advertising using Amazon Bedrock Data Automation

Favorite Contextual advertising, a strategy that matches ads with relevant digital content, has transformed digital marketing by delivering personalized experiences to viewers. However, implementing this approach for streaming video-on-demand (VOD) content poses significant challenges, particularly in ad placement and relevance. Traditional methods rely heavily on manual content analysis. For example,

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Shared by AWS Machine Learning April 18, 2025

The future of quality assurance: Shift-left testing with QyrusAI and Amazon Bedrock

Favorite This post is co-written with Ameet Deshpande and Vatsal Saglani from Qyrus. As businesses embrace accelerated development cycles to stay competitive, maintaining rigorous quality standards can pose a significant challenge. Traditional testing methods, which occur late in the development cycle, often result in delays, increased costs, and compromised quality.

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Shared by AWS Machine Learning April 18, 2025

Add Zoom as a data accessor to your Amazon Q index

Favorite For many organizations, vast amounts of enterprise knowledge are scattered across diverse data sources and applications. Organizations across industries seek to use this cross-application enterprise data from within their preferred systems while adhering to their established security and governance standards. This post demonstrates how Zoom users can access their

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Shared by AWS Machine Learning April 18, 2025