Intro and demo

0:00 You'll see how gradients flow, models learn, and AI come alive in real time, gaining raw, unfiltered machine learning mastery. This conference, of course, will guide you through the details of Quinn 3's architecture and implementation. By the end, you'll have an understanding of how these advanced models function. Vuk Rosi developed this course. We will code and train Quen 3 large language model from scratch and you will understand all of it. the entire architecture and code and logic intuition behind it step by step everything is explained and there are some animations that I will show you that will make it easier for you to understand so we have this prompt interactive mode today I will have a walk and and let's see what it generated so there is a bit of coherence I just trained it for 15 minutes on Google Collab free GPU so that's not enough compute but if you train this for a few hours or if you use better GPUs uh then it will be a lot better.

1:15 Today I will have a walk and discuss the following strict rules of the following command. Number one IK contra affair happen during the law rather than anything else. I think if you let this train for a few more hours it will actually make a lot more sense. This will just train quickly for a few minutes. So if you look at Quen technical report, you can see its architecture and you can also find architecture in the transformers library of hugging face.

1:39 So this is going to be the most advanced