CX Glossary
A machine learning technique that combines two key approaches: retrieval-based methods and generation-based methods. It's primarily used in natural language processing (NLP) tasks, like question answering or content generation.
Retrieval: Instead of relying solely on pre-trained models or fixed knowledge, a retrieval system searches through a large external database to find relevant pieces of information related to the task at hand.
Generation: After retrieving relevant information, a generative model (such as a GPT-like model) is used to synthesize a new, coherent, and contextually accurate output. This might be an answer to a question, a summary of information, or any other form of text generation.