3:04:11

Coding LLaMA 2 from scratch in PyTorch - KV Cache, Grouped Query Attention, Rotary PE, RMSNorm

58:04

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

1:26:21

Mistral / Mixtral Explained: Sliding Window Attention, Sparse Mixture of Experts, Rolling Buffer

11:48

'My jaw is dropped': Canadian official's interview stuns Amanpour

44:06

LLM inference optimization: Architecture, KV cache and Flash attention

27:14

Transformers (how LLMs work) explained visually | DL5

14:31

How To Run Private & Uncensored LLMs Offline | Dolphin Llama 3

1:19:37

Paper: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning