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My YouTube videos fall into two tracks:

1. technical track (all the GPT repro series)

2. general audience track

For (2), I had a 1hr video from 1 year ago, but I didn't actually expect that video to be some kind of authoritative introduction to LLMs. The history is that I was invited to give an LLM talk (to general audience), prepared some random slides for a day, gave the talk, and then re-recorded the talk in my hotel room later in a single take, and that become the video. It was quite random and haphazard. So I wanted to loop back around more formally and do a more comprehensive intro to LLMs for general audience; Something I could for example give to my parents, or a friend who uses ChatGPT all the time and is interested in it, but doesn't have the technical background to go through my videos in (1). That's this video.



Great work! I love your videos; they've taught me so much. Any plans for a Mixture of Experts (MoE) video? My understanding is that starting from GPT4 most advance models use MoE to some extent. For example, can I take the model from your GPT2 video and just change the feed forward layer to an MoE layer like the one found here (1)? I guess I can just try it myself but I enjoy the expert guidance you provide in your videos. Please don't stop! great content!

1. https://github.com/mistralai/mistral-inference/blob/main/src...


I haven’t watched this video yet, but do you plan to create any technical videos in the (1) series on RL in LLMs?


His intro to RL (not for LLM) blog post is a great read FYI

https://karpathy.github.io/2016/05/31/rl/


This would be very welcome as it brings us closer to understanding the secret sauce behind training a real, practical LLM.


"Something I could for example give to my parents,"

Not for nothing, Andrej's parents maybe different from mine, but I definitely can't send this to my parents.


Both are the best videos in NN and LLM. Your kindness is highly appreciated.


I watched that one after finding it randomly! Will give the new one a watch too


thank you SO much for all your hard work, we sincerely appreciate it




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