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today were going to talk about abstractive or generative question and answering and were going to focus on actually building or implementing something like this using a few different components but in the end what were going to essentially be able to get is were going to be able to ask a question in natural language and were going to be able to return documents or web pages or so on that are related to our particular question and were also going to be able to use something called a generator model to generate a human natural language answer to our question based on these documents that weve retrieved from an external source so we can think of it as a GPT model that is answering our questions but if gbt was also giving us the sources of the information that it was answering questions based on so lets jump straight into just understanding why exactly that were going to be building so were going to start with all of our documents our text or whatever it is were going to be usi