Retrieval Augmented Generation

This process optimizes the output of a large language model by referencing an authoritative knowledge base outside of its training data sources before generating a response. It ensures the information provided is accurate and reliable, enhancing the quality of the generated content. It's a significant advancement in the field of natural language processing and machine learning.