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.
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.
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.