Deep Learning
torch.compile in PyTorch 2.5: Where the Speedup Comes From and Where It Disappears
PyTorch 2.5 made torch.compile good enough that you can drop it into a real training script and expect a speedup most of the time.
How to Automate Hyperparameter Tuning in PyTorch With Optuna
I still remember the early days of my machine learning career, sitting in front of a terminal at 2 AM, manually tweaking learning rates, batch sizes, and.
Ray and Monarch: Did PyTorch Finally Fix Distributed Training?
Well, I have to admit, I used to be one of those developers who hated dealing with the distributed training headaches.
The Fast.ai Philosophy in 2025: Still the Ultimate Playbook for Practical Deep Learning?
Introduction: Navigating the AI Revolution with a Practical Compass The artificial intelligence landscape of 2025 is a whirlwind of innovation.
DeepSpeed Ulysses: A Breakthrough in Training Extreme Long-Sequence AI Models
Introduction: Breaking the Sequence Length Barrier in Transformer Models The world of artificial intelligence is in a constant race to build larger, more.
