Umar Jamil

58:04

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training
Umar Jamil
618K views
5:03:32

Coding Stable Diffusion from scratch in PyTorch
Umar Jamil
202K views
2:15:13

Reinforcement Learning from Human Feedback explained with math derivations and the PyTorch code.
Umar Jamil
61K views
1:10:55

LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU
Umar Jamil
108K views
2:59:24

Coding a Transformer from scratch on PyTorch, with full explanation, training and inference.
Umar Jamil
329K views
5:46:05

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation
Umar Jamil
114K views
49:24

Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW)
Umar Jamil
81K views
50:55

Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training
Umar Jamil
45K views
1:26:21

Mistral / Mixtral Explained: Sliding Window Attention, Sparse Mixture of Experts, Rolling Buffer
Umar Jamil
38K views
3:04:11

Coding LLaMA 2 from scratch in PyTorch - KV Cache, Grouped Query Attention, Rotary PE, RMSNorm
Umar Jamil
60K views
27:12

Variational Autoencoder - Model, ELBO, loss function and maths explained easily!
Umar Jamil
60K views
44:08

Decoding machine learning complexity with Writer’s Umar Jamil
Writer
1.4K views
1:19:37

Paper: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Umar Jamil
59K views
Today Top Searches
Categories
Recently Searched Keywords