@okokok2141
You have a gift for teaching. Thank you!
@myyoutubechannel2858
Not only clearly explained, but also made very interesting. Bravo!
@avinashsuresh5221
Concise, to-the-point and clear explanations. Thank you! Your small videos are packed full of useful information. Nothing is irrelevant. None of the video content has information to ignore. And in so less time, you explained all there is to know about it to begin exploring in detail. This is truly a no-BS channel.
@ankitnathtiwari
Beautiful and simple explanation and amazing visualization.
@RolandoLopezNieto
Excellent explanation, thanks
@jherreromail
One of the best explanation on Internet. Thanks
@doria-q5f
jesus,i have no idea about llm at all,although i have been through a lot of videos,until today.appreciate it🎉
@Modey3
excellent explanation. You sir, have a subscriber. I didn’t even know there was a paper on this.
@akashnagarkar7560
Deserves more views. Great job :)
@srinivastadinada4846
No other video in youtube beats this :) GEM
@SmartMedia101
Great video! This channel is going to be huge!
@saitamasensi-c2d
Next level, seriously
@kaushalrijal3059
keep these videos coming❤
@aimlgenai2025
your explanation is very good. Thank you.
@teosurch
Amazing explanation, thank you!
@ishanojha2508
Wow this is really helpful
@xavier.antony
Wonderful...
@vermagauravsingh
Best video can bet
@thelateknights
12:22 - Why were 3 dimensions chosen? Do these represent user-input dimensions? If so, is the number of dimensions selected solely on computational restriction (ie, using 100 neurons will take a straight month of compute to train, so I guess we'll just do 7 neurons instead and that will be good enough)? Or do the 3 dimensions represent user defined dimensions (ie, could be 1st dimension - IsANoun? 2nd dimension - IsAnAdjective?, 3rd dimension - IsAVerb?)?
@Ajhesh