In this article, we discuss the various learning methods by which Artificial Intelligence can learn. We discuss methods like learning a subject completely by branching out to different topics and learning a subject starting from a high-quality source and then to a low-quality source of data available on the internet. Introduction We know that Generative AI tools like ChatGPT and Bard already have learned a good part of their knowledge by brute force. We are suggesting a few methods by which it can learn otherwise. These methods should help it to optimize itself, if not learn from scratch. Re-Inforced learning by adding weights ChatGPT and Bard should add weights to their important sources of information. These sources could be the most visited websites, the most referred websites, acclaimed books from renowned authors, research papers or articles from well-known magazines, Articles, and even the most watched YouTube Channels. These sources need to be given weights and they should...