Decoding AI: Part 7, Retrieval Augmented Generation with GAI

In Part 7 of the Decoding AI: A government perspective learning series, the focus shifts to the use of Retrieval-Augmented Generation (RAG) with GAI (Generative AI), as experts strive to push the boundaries of what is possible. The blog explores how to create boundary conditions in GAI, delving into the nuances of generative AI. Specifically, it examines how the RAG model can be used to augment GAI with results from a search engine, thereby enhancing the accuracy and relevance of the model's output.

The blog post provides valuable insights into the cutting-edge technology employed in AI and how it can be leveraged to achieve groundbreaking results. Whether you are a seasoned AI expert or simply curious about the latest advancements in the field, this article helps you gain a deeper understanding of the intricacies of AI and the innovative approaches you can adopt to push its boundaries.

The post Decoding AI: Part 7, Retrieval Augmented Generation with GAI originally appeared on Azure Government.