How Rotary Position Embedding Supercharges Modern LLMs
11:54
How FlashAttention Accelerates Generative AI Revolution
16:25
How I Understand Flow Matching
14:06
RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs
1:59:05
LongRoPE
17:35
The Reparameterization Trick
39:56
RoPE Rotary Position Embedding to 100K context length
9:50
How do Transformer Models keep track of the order of words? Positional Encoding
17:39