Umar Jamil

1:19:37

Paper: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Umar Jamil
52K views
58:04

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training
Umar Jamil
522K views
5:46:05

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation
Umar Jamil
82K views
2:59:24

Coding a Transformer from scratch on PyTorch, with full explanation, training and inference.
Umar Jamil
276K views
1:10:55

LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU
Umar Jamil
92K views
7:38:18

Flash Attention derived and coded from first principles with Triton (Python)
Umar Jamil
45K views
54:52

BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token
Umar Jamil
61K views
2:15:13

Reinforcement Learning from Human Feedback explained with math derivations and the PyTorch code.
Umar Jamil
47K views
0:16

Umar Jamil Rehmani Brand
Umar Jameel
112 views
50:55

Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training
Umar Jamil
35K views
44:08

Decoding machine learning complexity with Writer’s Umar Jamil
Writer
1K views
49:24

Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW)
Umar Jamil
72K views
5:03:32

Coding Stable Diffusion from scratch in PyTorch
Umar Jamil
177K views
26:55

LoRA: Low-Rank Adaptation of Large Language Models - Explained visually + PyTorch code from scratch
Umar Jamil
38K views
1:20:43

Lecture 50: A learning journey CUDA, Triton, Flash Attention
GPU MODE
5.9K views
1:26:21

Mistral / Mixtral Explained: Sliding Window Attention, Sparse Mixture of Experts, Rolling Buffer
Umar Jamil
34K views
3:04:11

Coding LLaMA 2 from scratch in PyTorch - KV Cache, Grouped Query Attention, Rotary PE, RMSNorm
Umar Jamil
53K views
1:14:29

Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math
Umar Jamil
50K views
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