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.

The full talk can be found here: https://youtu.be/zjkBMFhNj_g?si=fPvPyOVmV-FCTFEx

Here’s the reading list: https://blog.oxen.ai/reading-list-for-andrej-karpathys-intro-to-large-language-models-video/

Let me know if you have any other papers you would add!

  • Maykey@alien.topBEnglish
    1·
    10 months ago

    I haven’t watch the talk, but I think the reading list should have some love for SSM. (S4, S5, H3): on one hand their variants are very prominent on long range arena on other they are relatively “unknown”.

    They are not unknown to researchers seeing how many variants there are, but there are hundreds more videos and blogs explaining transformers. If you find a course about LLM, it will likely include Transformers but not SSM, so I think their success in LRA and absence in learning materials qualifies them for “dive in deeper” list.