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

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

Share:

Similar Tracks

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

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

LoRA explained (and a bit about precision and quantization) DeepFindr

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

LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU Umar Jamil

Quantization vs Pruning vs Distillation: Optimizing NNs for Inference Efficient NLP

But what is a neural network? | Deep learning chapter 1 3Blue1Brown

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

How diffusion models work - explanation and code! Umar Jamil

tinyML Talks: A Practical Guide to Neural Network Quantization EDGE AI FOUNDATION

Which Quantization Method is Right for You? (GPTQ vs. GGUF vs. AWQ) Maarten Grootendorst

Multi GPU Fine tuning with DDP and FSDP Trelis Research

Coding Stable Diffusion from scratch in PyTorch Umar Jamil

Intro to Binarized Neural Networks Neuro Symbolic

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

But what are Hamming codes? The origin of error correction 3Blue1Brown

But what is quantum computing? (Grover's Algorithm) 3Blue1Brown

Deep Learning With PyTorch - Full Course Patrick Loeber