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Build an intelligent multi-agent business expert using Amazon Bedrock

In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together to provide comprehensive business insights by analyzing data from multiple sources. …

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How Schroders built its multi-agent financial analysis research assistant

Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data sources, and produce company research. Schroders is a leading global active investment manager. Being an active manager means understanding investment opportunities — combining rigorous research, innovative thinking and deep market perspective — to help build …

How AI models successfully detect personality traits from written text

A research team at the University of Barcelona (UB) has shown how artificial intelligence (AI) models can detect personality traits from written texts, and for the first time has managed to analyze in detail how these systems make decisions. These results, published in the journal PLOS One, open up new perspectives for understanding how personality …

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Power Your LLM Training and Evaluation with the New SageMaker AI Generative AI Tools

Today we are excited to introduce the Text Ranking and Question and Answer UI templates to SageMaker AI customers. The Text Ranking template enables human annotators to rank multiple responses from a large language model (LLM) based on custom criteria, such as relevance, clarity, or factual accuracy. This ranked feedback provides critical insights that help …