A short summary of insights and takeaways from this exciting new paper on better and faster LLMs via multi-token prediction. Paper: arxiv.org/abs/... #ai #machinelearning #science #llms
I mentioned this paper in a video that I will post later today, I'll link to this video so people can go deeper. Love your content on Twitter, looking forward to watching your TH-cam stuff too!
@@elvissaravia I came from Wes recommendation. This was a great watch, keep going. I know you will find your audience here growing. Also remember to tell people to subscribe. It is annoying to hear from all the TH-camrs you watch, but they all do it because it works.
In a way, this feels like optimizing the decoding process during training (think beam search + gradient descent). Very cool paper and very interesting video!
I mentioned this paper in a video that I will post later today, I'll link to this video so people can go deeper.
Love your content on Twitter, looking forward to watching your TH-cam stuff too!
Appreciate it. Thanks for the kind words. Will keep posting more of these detailed paper reviews. It seems to be clicking with people.
@@elvissaravia I came from Wes recommendation.
This was a great watch, keep going.
I know you will find your audience here growing.
Also remember to tell people to subscribe. It is annoying to hear from all the TH-camrs you watch, but they all do it because it works.
In a way, this feels like optimizing the decoding process during training (think beam search + gradient descent).
Very cool paper and very interesting video!
Amazing video. Thanks for the concise review of key concepts.
Heh, Badr is my brother :3 very proud of him. Thnx for the video
Awesome. It’s an excellent paper. Kudos to all the authors.
Awesome! 😁