Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training Published 2023-12-11 Download video MP4 360p Recommendations 49:24 Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW) 1:12:53 Distributed Training with PyTorch: complete tutorial with cloud infrastructure and code 1:14:29 Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math 1:10:55 LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 11:03 LLaMa GPTQ 4-Bit Quantization. Billions of Parameters Made Smaller and Smarter. How Does it Work? 42:06 Understanding 4bit Quantization: QLoRA explained (w/ Colab) 17:38 The moment we stopped understanding AI [AlexNet] 34:40 How Far is Too Far? | The Age of A.I. 30:35 Inside TensorFlow: Quantization aware training 27:12 Variational Autoencoder - Model, ELBO, loss function and maths explained easily! 31:28 Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math) 02:43 PyTorch in 100 Seconds 15:51 Which Quantization Method is Right for You? (GPTQ vs. GGUF vs. AWQ) 20:18 Why Does Diffusion Work Better than Auto-Regression? 40:29 What is the Ultraviolet Catastrophe? 52:51 Deep Dive on PyTorch Quantization - Chris Gottbrath Similar videos 15:34 Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python) 11:17 9.2 Quantization aware Training - Concepts 04:36 Quantization in PyTorch 2.0 Export at PyTorch Conference 2022 1:11:43 Lecture 05 - Quantization (Part I) | MIT 6.S965 4:13:18 QuantLab: Mixed-Precision Quantization-Aware Training for PULP QNNs 16:48 Quantization in Neural Networks - Basics Explained | Affine and Symmetric Quantization 20:27 54 - Quantization in PyTorch | Mixed Precision Training | Deep Learning | Neural Network 1:01:20 tinyML Talks: A Practical Guide to Neural Network Quantization 26:36 Named Tensors, Model Quantization, and the Latest PyTorch Features - Part 1 45:36 Tutorial (TVMCon 2021) - Neural Network Quantization with Brevitas More results