Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training
Similar Tracks
LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU
Umar Jamil
Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW)
Umar Jamil
Reinforcement Learning from Human Feedback explained with math derivations and the PyTorch code.
Umar Jamil
Attention is all you need (Transformer) - Model explanation (including math), Inference and Training
Umar Jamil
LoRA: Low-Rank Adaptation of Large Language Models - Explained visually + PyTorch code from scratch
Umar Jamil
Direct Preference Optimization (DPO) explained: Bradley-Terry model, log probabilities, math
Umar Jamil