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Build accurate and efficient financial search applications using the Cohere multilingual embedding foundation model in Amazon Bedrock. 🔧☁️🤖 https://go.aws/3tZ0H4D In this blog, you'll learn how Cohere's embedding model sorts through noisy data inputs, adapts to complex RAG systems, and delivers cost-efficiency from its compression-aware training method, while boosting the productivity and output quality of financial analysts. #AWS #AmazonBedrock #generativeAI

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

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

Yariv Haelyon 🎗

AWS is the world leader in supporting the cloud journey of Public Sector organizations, who wish to serve citizens more effectively, accelerate innovation and digital transformation. Proud to be a part of this journey.

8mo

Amazon Bedrock customers and prospects in the financial services industry, take an opportunity to learn how you can benefit from using Cohere’s multilingual embedding model in Amazon Bedrock to enable efficient and accurate discovery of financial information, thereby boosting the productivity and output quality of financial analysts.

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Paulo Almeida

Systems Development and Database Specialist | Python, C#, Java, ArcGIS | Expert in IoT, Software Architecture, and Cloud Computing

8mo

Thank you for your dedicated effort in posting this content. Your commitment is not only fundamental but also makes a significant difference to us all.

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