In conclusion, one thing we can do is we can take each one of the documents, upload them to one or even several chatbots to determine what a chatbot views as the unique qualities of each of the documents. And so what we’re going to do is we’re going to produce an analysis of the documents within a chatbot. We will use the same analysis prompt in chat GPT once we get the analysis from all of the chatbots, we’re going to upload that analysis to notebook LMDH, and we’re going to use this as our meta analysis for all of our documents.
Now, the meta analysis is a process that you can modify, but notebook LM is a good AI in order to synthesize your research and your analysis. Okay? So with that, thanks, and I’ll see you either another video or in another course.