@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.
@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 !
@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.
@SunilPatel-ms2ds
maza agaya bhai - what a content
@bhaskarmondal7461
Thank you soo much, I was looking for something just like this for the past few days !
@motawehnagi
Man this explanation is awesome !!
@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.
@timmydotlife
Thank you for sacrificing your hair to teach us 🙏
@yosepkim7940
I love the high level introduction concepts. for coding and fine-tuning starts at 1:52:00
@dendi1076
I have a job interview tomorrow to get a genAI job, I barely know anything about it, but I am going through this tonight right now, if I get the job tomorrow I will come back and post a thank you.
@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
@swagatrout3075
Krishnaik sir you are a blessing
@wzhings
Thanks for teaching, it is a well-explained short course.
@عبدالرحمناحمد-ك4ذ
Krishnaik sir you are a great . keep going .
@rojanocachofernanda8230
thanks to you i finished my masters degree <3
@dipayancodes
Krish Naiikkkk my favourite ❤️
@egonkirchof
I don' t understand why people call pre training the process of training the model for the first time. Pre training is training and fine tuning is a second training.
@uthsaraiw1068
Thanks a lot 👍👍 lots of value ❤
@sameerprajapati9467
[0,1,2,........,1000] -> asymmetric qunt [-15,-14,.............1000] -> asymmetric qunt
@ejosh3420