Hi, I'm a CS undergrad at Berkeley. I'm relatively new and behind (vs my peers) in CS, and would like your recommendations for self-studying the technicals of ChatGPT (text and video generation), please.
Some background on me:
* I enjoy my classes because I find the academically interesting...
* But I'm generally way behind the trends and hype.
* At Berkeley, I did well in CS189 Intro to ML (Shewchuk) https://people.eecs.berkeley.edu/~jrs/189/
* Also did well in LinAlg, Data Structs, Algos, etc.
There's so much information out there; I'd value your recommendations what what articles/videos/projects I should do next, after CS189/Intro to ML.
Thank you in advance.
Some background on me:
* I enjoy my classes because I find the academically interesting...
* But I'm generally way behind the trends and hype.
* At Berkeley, I did well in CS189 Intro to ML (Shewchuk) https://people.eecs.berkeley.edu/~jrs/189/
* Also did well in LinAlg, Data Structs, Algos, etc.
There's so much information out there; I'd value your recommendations what what articles/videos/projects I should do next, after CS189/Intro to ML.
Thank you in advance.