Distributed Training with PyTorch: complete tutorial with cloud infrastructure and code
Vídeos relacionados
50:55
Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training
1:00:15
ML Interpretability: feature visualization, adversarial example, interp. for language models
1:47:30
AWS Tech & AI Essentials — Build a real AI workflow - Day 5 of 5
1:12:53
Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training
1:15:10
OaaS-IoT Tutorial at IPDPS 2026 Conference
1:26:21
Mistral / Mixtral Explained: Sliding Window Attention, Sparse Mixture of Experts, Rolling Buffer
46:24
Inside TensorFlow: tf.data + tf.distribute
5:03:32
Coding Stable Diffusion from scratch in PyTorch
32:31
How Fully Sharded Data Parallel (FSDP) works?
![baixar BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token mp3](https://i0.wp.com/s.ytimg.com/vi/90mGPxR2GgY/mqdefault.jpg?resize=100,100)
54:52
BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token
1:05:01
Intro to Audio Processing for Deep Learning
2:38:04