Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and Transformers

[@KetanSingh]

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.

[@T_SULTAN_]

This is brilliant. Thank you, John Hewitt and Stanford!

[@wangdeltapanic]

我认为能上传这么多2023的video，已经非常良心了

[@yagneshm.bhadiyadra4359]

Listening to lecture is one thing, but doing assignments is totally a different gig for this course.

[@rajchinagundi7498]

Hi Stanford, thank for this upload could you please upload lecture 1-8 for "Stanford CS224N NLP with Deep Learning | 2023"

[@simonbernard4216]

I guess the foundations doesn’t change from a year to another

[@luzengyuan5326]

This is the best video to explain transformer I had ever seen. Thanks

[@AlenaShilina]

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! 🙏🏻🔥

[@carloskuhn1344]

Excellent lecture, well done!

[@abdoualgerian5396]

I remeber the last time you explained transformers, you were amazing

[@struyep]

love this guy

[@TheRohit901]

awesome video on such an important topic today which is used everywhere in AI from NLP and Vision.

[@robertokalinovskyy7347]

Great lecture, thanks!

[@nanunsaram]

Thank you so much for this updated lecture!!

[@phai44]

just revising this, nice lecture

[@que_93]

I cannot see lectures 1-7 from this year. Will they be uploaded soon?

[@yagneshm.bhadiyadra4359]

To all listening to this lecture, first do the NMT assignment from the course, and then only do this.

[@hrikhi]

Hi Stanford Online; this is a great video. Is there any possibility of uploading 2nd May 2023 on Attention and Transformers CS231? Thank You

[@avivjan3402]

Got it? I want it too!!

[@VeganeDeDroite]

Isn't there a mistake ? I think llama use rotational embeddings for positional encoding. Not learned embeddings

[@saurabh7337]

How is this key value lookup table built?

[@nguyenucmanh4181]

We get that by training

[@annawilson3824]

45:30

[@isalutfi]

💙💙💙

[@revolutionarydefeatism]

Where are lectures 1-7 from 2023?

[@Pingu_astrocat21]

woooooooooo xD XD 0:49

[@ayantanulaha8629]

Great lecture

[@chongsun7872]

Great lecture. But some time a little faster pace than Christopher Manning.

[@asmaaqindeel5951]

If anyone can share the lecture notes he keeps referring to that would be great, thank you. the lecture notes not the slides.

[@ireacttoshit4861]

when will stanford mics become betteR?

[@SarahSanchez-b2w]

Kade Forks

[@ElhamAhmadi-j6v]

Where Can I find the lectures 1-7?

[@MahdieSadatHosseini]

How can I find lectures 1-7?

[@asmaaqindeel5951]

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"