Thank you for this video! Though, wasn't this video already published? I could even remember the beats of the first lines?

Thanks for this video! Would love to see the next video on Tree of Thoughts method of prompting.

There's such a strange, uncanny-valley feeling watching someone who's been inverted (flipped along the vertical axis like a mirror appears to do)

Excellent explanation. I suggest that next time you add a little history at the beginning of your video about where the term is coming from (see original publication where the term was first coined).

Great video. Thank you Can you make a video about the current state of LLMs in the market place? There are lots of claims out there of capable models like GPT but it’s really hard to separate fact from fiction. Thanks again

Thanks. I have one question. To do prompt tuning on a foundation model, how to choose data sets which are for general public domain (not for specific domain) and under which circumstances, we should train with few-shot prompts and zero-shot prompts? thanks

I just try the same direct prompt right now to gpt4 and correct answer !

Good video, is there an established way to provide step by step examples to the llm? E.g. will check get better results if I explicitly number my stems and provide enumerated examples, can I use arrows to indicate example-> step -> final ?

Can a subsequent SFT and RTHF with different, additional or lesser contents change the character, improve, or degrade a GPT model? Can you modify a GPT model?

Has this been reuploaded or do I just have a really bad case of deja Vu? I'm 100% sure I have watched this video again before and it wasn't anywhere within the past 18hrs