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

Top Open Source licenses in 2024

Favorite The Open Source Initiative (OSI) serves as the premier resource for millions of visitors seeking essential information about OSI-Approved licenses. The enriched license pages go beyond basic descriptions, incorporating relevant metadata to provide deeper insights and better support for Open Source users, developers, and organizations. The most popular licenses

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Shared by voicesofopensource December 23, 2024

60 of our biggest AI announcements in 2024

Favorite Recap some of Google’s biggest AI news from 2024, including moments from Gemini, NotebookLM, Search and more. View Original Source (blog.google/technology/ai/) Here.

Design multi-agent orchestration with reasoning using Amazon Bedrock and open source frameworks

Favorite As generative AI capabilities evolve, successful business adoptions hinge on the development of robust problem-solving capabilities. At the forefront of this transformation are agentic systems, which harness the power of foundation models (FMs) to tackle complex, real-world challenges. By seamlessly integrating multiple agents, these innovative solutions enable autonomous collaboration,

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Shared by AWS Machine Learning December 20, 2024