Retrieval-Augmented Generation (RAG) is an innovative technology that significantly enhances the capabilities of AI language models by integrating external information retrieval with generative processes.
As organizations increase their investment in artificial intelligence (AI), the need to govern machine learning (ML) models effectively has become a strategic priority. Deploying a model into production is only the beginning.
Andrew Troup, Director, MicroEdge + Blackbaud
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The Hyperledger Foundation is an open source collaborative effort hosted by the Linux Foundation and created to advance cross-industry blockchain... Read More
Hello Lisbon-FinTech Fans! Let’s start uniting FinTech Founders, Corporates, Developers, and VCs across Europe to share, build and collaborate. The... Read More
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