@timmydotlife
Thank you for sacrificing your hair to teach us 🙏
@itonlygetsbetterfromherehu4289
this was the best course i have seen when it comes to fine Tunning. I have already fine tuned 5 models before this video and now this time next year it should be 500. Only because you have streamlined fine tunning for me.
@SunilPatel-ms2ds
maza agaya bhai - what a content
@rickfuzzy
Quantisation is such a simple thing. Can’t believe the time being spent on it. There are videos out there which are far more effective for your time
@nyxshadow121
thank you krish sir, recently i am working with different different llm models, and i am trying to build my own llm model for specific domain, you helped me a lot things with learning through this video, thank you for this beautiful tutorial and guidance. lots of love from Nepal.
@dbiswas
This is a amzing tutorial end to end and if someone wants to learn the fine tuning concepts with hands on lab. Thanks Kris !
@yosepkim7940
I love the high level introduction concepts. for coding and fine-tuning starts at 1:52:00
@swagatrout3075
Krishnaik sir you are a blessing
@bhaskarmondal7461
Thank you soo much, I was looking for something just like this for the past few days !
@motawehnagi
Man this explanation is awesome !!
@dipayancodes
Krish Naiikkkk my favourite ❤️
@rojanocachofernanda8230
thanks to you i finished my masters degree <3
@rohitjorige5346
Not helpful , it felt like just going through some pre written notebooks and just explaining very simple things like lora and quantisation , did not explain importance of parameters in training arguments etc. Not a useful course
@lokeishdesaichetty1198
I think Free Code Camp should use AI to remove the repeated sections of topic in the video, this will help the viewers. Currently you are stitching multiple youtube videos to make as a big video. But there are many repetition of things are there in the video.
@wzhings
Thanks for teaching, it is a well-explained short course.
@Akash-hq3gs
Play at 1.5x, you won't miss anything. Oh btw thats an example of quantization. Feel free to skip first 30 minutes if you understand this.
@عبدالرحمناحمد-ك4ذ
Krishnaik sir you are a great . keep going .
@sameerprajapati9467
[0,1,2,........,1000] -> asymmetric qunt [-15,-14,.............1000] -> asymmetric qunt
@ldandco
I can't honestly listen to this guy for more than a few seconds.... nerve wracking
@ejosh3420