This is excellent. Please consider uploading the entire 2023 course. It'd be interesting to listen to all the lectures delivered in the age of widespread adoption of LLMs.
I've watched the previous upload of this lecture like a million times. The way John explains this topic became much clearer! Tho, it was quite clear before also. But still had some concepts I couldn't fully get. Now it's changed. Thank you, John, for amazing lectures! 🙏🏻🔥
they are here on youtube just type stanford cs224 2023, the first 7 lectures actually are from 2021 but they are great. the slides are also public, it is the notes that I couldn't find -he keeps refereing to the "lecture notes"
This is excellent. Please consider uploading the entire 2023 course. It'd be interesting to listen to all the lectures delivered in the age of widespread adoption of LLMs.
Listening to lecture is one thing, but doing assignments is totally a different gig for this course.
我认为能上传这么多2023的video，已经非常良心了
This is brilliant. Thank you, John Hewitt and Stanford!
Excellent lecture, well done!
This is the best video to explain transformer I had ever seen. Thanks
Hi Stanford, thank for this upload could you please upload lecture 1-8 for "Stanford CS224N NLP with Deep Learning | 2023"
I guess the foundations doesn’t change from a year to another
I've watched the previous upload of this lecture like a million times. The way John explains this topic became much clearer! Tho, it was quite clear before also. But still had some concepts I couldn't fully get. Now it's changed. Thank you, John, for amazing lectures! 🙏🏻🔥
love this guy
Great lecture, thanks!
awesome video on such an important topic today which is used everywhere in AI from NLP and Vision.
To all listening to this lecture, first do the NMT assignment from the course, and then only do this.
I remeber the last time you explained transformers, you were amazing
Thank you so much for this updated lecture!!
I cannot see lectures 1-7 from this year. Will they be uploaded soon?
Hi Stanford Online; this is a great video. Is there any possibility of uploading 2nd May 2023 on Attention and Transformers CS231? Thank You
Got it? I want it too!!
Isn't there a mistake ? I think llama use rotational embeddings for positional encoding. Not learned embeddings
Where are lectures 1-7 from 2023?
How is this key value lookup table built?
We get that by training
Kade Forks
45:30
Great lecture. But some time a little faster pace than Christopher Manning.
💙💙💙
when will stanford mics become betteR?
woooooooooo xD XD 0:49
If anyone can share the lecture notes he keeps referring to that would be great, thank you. the lecture notes not the slides.
Great lecture
Where Can I find the lectures 1-7?
How can I find lectures 1-7?
they are here on youtube just type stanford cs224 2023, the first 7 lectures actually are from 2021 but they are great. the slides are also public, it is the notes that I couldn't find -he keeps refereing to the "lecture notes"