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

AWS Machine Learning - AI

For example, in the financial services industry, applications include extracting insights from earnings reports, searching for information from financial statements, and analyzing sentiment about stocks and markets found in financial news. This allows you to objectively compare, dissect, and derive insights from all of these documents.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

This post discusses RAG patterns to improve response accuracy using LangChain and tools such as the parent document retriever in addition to techniques like contextual compression in order to enable developers to improve existing generative AI applications. We use an ml.t3.medium For step-by-step instructions, refer to the GitHub repo.

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Data, The Unsung Hero of the Covid-19 Solution

Cloudera

The challenge is particularly intense because the vaccine will not be distributed en masse to all individuals, but by segments that include occupation, age, preexisting risk, and geography. . The result is a comprehensive set of granular insights to inform an agile supply chain. . Or see more about my insights at [link].

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Technology Trends for 2023

O'Reilly Media - Ideas

Our data shows us what O’Reilly’s 2.8 Whether or not we’re actually in a recession, many in our industry perceive us to be so, and that perception can be self-fulfilling. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages.

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