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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning Blog

This enables applications such as semantic search, Retrieval Augmented Generation (RAG), topic modeling, and text classification. Gonzalo Betegon is a Solutions Architect at Cohere, a provider of cutting-edge natural language processing technology. They provide ease of use and strong security and privacy controls.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique. We use an ml.t3.medium

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A 50-Year Quest: My Personal Journey with the Second Law of Thermodynamics

Hacker News

Computational Foundations for the Second Law of Thermodynamics (forthcoming) 2. But it wasn’t long before I started hearing mentions that somewhere at the school there was a computer. I’d seen a computer in real life only once—when I was 10 years old, and from a distance. How Did We Get Here?

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Meet the winners of the Research Rovers: AI Research Assistants for NASA Challenge

DrivenData Labs

We are very interested in how AI-based research assistants can help NASA, and we received a diverse variety of cutting-edge AI approaches from around the globe in the Research Rovers challenge. bge-small-en-v1.5 bge-small-en-v1.5 bge-small-en-v1.5

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