Umar jamil videos - Search - BetterTube

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation Umar Jamil

132.4K views - 1 year ago

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

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

701.8K views - 3 years ago

Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math

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

62.1K views - 2 years ago

Reinforcement Learning from Human Feedback explained with math derivations and the PyTorch code.

Reinforcement Learning from Human Feedback explained with math derivations and the PyTorch code. Umar Jamil

71K views - 2 years ago

Flash Attention derived and coded from first principles with Triton (Python)

Flash Attention derived and coded from first principles with Triton (Python) Umar Jamil

84.1K views - 1 year ago

Coding Stable Diffusion from scratch in PyTorch

Coding Stable Diffusion from scratch in PyTorch Umar Jamil

217.4K views - 2 years ago

Coding a Transformer from scratch on PyTorch, with full explanation, training and inference.

Coding a Transformer from scratch on PyTorch, with full explanation, training and inference. Umar Jamil

369.7K views - 3 years ago

Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW)

Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW) Umar Jamil

87.1K views - 2 years ago

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

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

40.8K views - 2 years ago

BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token

BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token Umar Jamil

80.8K views - 2 years ago

Variational Autoencoder - Model, ELBO, loss function and maths explained easily!

Variational Autoencoder - Model, ELBO, loss function and maths explained easily! Umar Jamil

70.4K views - 2 years ago

Distributed Training with PyTorch: complete tutorial with cloud infrastructure and code

Distributed Training with PyTorch: complete tutorial with cloud infrastructure and code Umar Jamil

38.8K views - 2 years ago

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

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

62.3K views - 1 year ago

Direct Preference Optimization (DPO) explained: Bradley-Terry model, log probabilities, math

Direct Preference Optimization (DPO) explained: Bradley-Terry model, log probabilities, math Umar Jamil

36.4K views - 2 years ago

Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training

Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training Umar Jamil

54.8K views - 2 years ago

KOFXV | Geese Howard Cool Combo Video by Umar Jamil | Combo Video (Optimal)

KOFXV | Geese Howard Cool Combo Video by Umar Jamil | Combo Video (Optimal) Umar Jamil

103 views - 2 years ago

CLIP - Paper explanation (training and inference)

CLIP - Paper explanation (training and inference) Umar Jamil

13.9K views - 3 years ago

KOFXV | Geese Howard | Cool Corner Combo | Umar Jamil

KOFXV | Geese Howard | Cool Corner Combo | Umar Jamil Umar Jamil

48 views - 2 years ago

Segment Anything - Model explanation with code

Segment Anything - Model explanation with code Umar Jamil

38.6K views - 2 years ago

Kolmogorov-Arnold Networks: MLP vs KAN, Math, B-Splines, Universal Approximation Theorem

Kolmogorov-Arnold Networks: MLP vs KAN, Math, B-Splines, Universal Approximation Theorem Umar Jamil

39.5K views - 2 years ago