Coding LLaMA 2 from scratch in PyTorch - KV Cache, Grouped Query Attention, Rotary PE, RMSNorm
Similar Tracks
LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU
Umar Jamil
LoRA: Low-Rank Adaptation of Large Language Models - Explained visually + PyTorch code from scratch
Umar Jamil
Attention is all you need (Transformer) - Model explanation (including math), Inference and Training
Umar Jamil
Query, Key and Value Matrix for Attention Mechanisms in Large Language Models
Machine Learning Courses