Lec 16 : Introduction to Transformer: Positional Encoding and Layer Normalization
1:01:44
Lec 15 : Introduction to Transformer: Self & Multi-Head Attention
43:33
Lec 17 : Implementation of Transformer using PyTorch
16:41
Simplest explanation of Layer Normalization in Transformers
27:14
Transformers (how LLMs work) explained visually | DL5
12:55
Trump & Musk Fire Thousands of Federal Workers, Donny Gets a New Tell-All & Macron Visits Washington
35:29
Malte Pütz - RG flows from percolation to Nishimori under dilute weak measurement
22:36
Lec 12 : Sequence-to-Sequence Models
12:24