I loved Andrej's talk about in his "Busy person's intro to Large Language Models" video, so I decided to create a reading list to dive in deeper to a lot of the topics. I feel like he did a great job of describing the state of the art for anyone from an ML Researcher to any engineer who is interested in learning more.<p>The full talk can be found here: <a href="https://youtu.be/" rel="nofollow noreferrer">https://youtu.be/</a> zjkBMFhNj_g?si=fPvPyOVmV-FCTFEx<p>Here's the reading list: <a href="https://blog.oxen.ai/reading-list-for-andrej-karpathys-intro-to-large-language-models-" rel="nofollow noreferrer">https://blog.oxen.ai/reading-list-for-andrej-karpathys-intro...</a>
video/<p>Let me know if you have any other papers you would add!
I really enjoyed reading Stephen Wolfram's (very long) article on ChatGPT and how/why it works.<p><a href="https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/" rel="nofollow noreferrer">https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-...</a>