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Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

Favorite Generative AI applications are gaining widespread adoption across various industries, including regulated industries such as financial services and healthcare. As these advanced systems accelerate in playing a critical role in decision-making processes and customer interactions, customers should work towards ensuring the reliability, fairness, and compliance of generative AI applications

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Shared by AWS Machine Learning January 8, 2025

Optimizing costs of generative AI applications on AWS

Favorite The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing

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Shared by AWS Machine Learning December 27, 2024

Open Source AI and policy from the perspective of East Asia

Favorite As AI continues to transform industries globally, ensuring openness and inclusivity in its development has become a critical mission. Initiatives like OSI’s recent Open Source AI Definition and broader discussions on Open Source legal and policy frameworks at events like FOSDEM underscore this growing importance. In East Asia, grassroots

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Shared by voicesofopensource December 25, 2024

Improving Retrieval Augmented Generation accuracy with GraphRAG

Favorite Customers need better accuracy to take generative AI applications into production. In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural

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Shared by AWS Machine Learning December 24, 2024