Uploaded December 2022 | Updated September 2026, 18 minutes ago
Computer science / ML PhD apps are boring, so let's use ChatGPT to write one for us! It works kinda well I guess. Not perfect, but pretty impressive I'd say! I got some better results with ChatGPT in the past, so it looks like the quality of the outputs can have a bit of a range.
ClearML: bit.ly/3GtCsj5
Outline
0:00 - Intro
1:27 - ChatGPT Example
2:07 - ClearML
3:13 - Writing my SoP
8:46 - Giving it my resume
15:25 - What university can I get into?
Social Media
YouTube - youtube.com/c/EdanMeyer
Twitter - twitter.com/ejmejm1
Sources:
ChatGPT Blog - openai.com/blog/chatgpt
Computer science / ML PhD apps are boring, so let's use ChatGPT to write one for us! It works kinda well I guess. Not perfect, but pretty impressive I'd say! I got some better results with ChatGPT in the past, so it looks like the quality of the outputs can have a bit of a range.
ClearML: bit.ly/3GtCsj5
Outline
0:00 - Intro
1:27 - ChatGPT Example
2:07 - ClearML
3:13 - Writing my SoP
8:46 - Giving it my resume
15:25 - What university can I get into?
Social Media
YouTube - youtube.com/c/EdanMeyer
Twitter - twitter.com/ejmejm1
Sources:
ChatGPT Blog - openai.com/blog/chatgpt
![Self-Supervised RL - Learning Without Data [Zero to Paper]](https://i.ytimg.com/vi/CDKsa06xU0o/mqdefault.jpg "Self-Supervised RL - Learning Without Data [Zero to Paper]
Inverse Reinforcement Learning with Natural Language Goals (LangGoal IRL) offers a way to do sample-efficient IRL and a way to generalize using self-supervised learning. The paper is novel and is a step forward for general AI and ML algorithms. Though it has its cons, I think it is one of the better papers out there that cover RL, IRL, NLP, and generalization.
Zero to Paper playlist: https://www.youtube.com/playlist?list=PL_49VD9KwQ_ONxENRk11jFEI3_pqAwaug
Inverse Reinforcement Learning video: https://www.youtube.com/watch?v=qo355ALvLRI
Paper covered: https://arxiv.org/pdf/2008.06924.pdf")
