Posts

All the articles I've posted.

• AutoDiff Puzzles

  Published:Dec 20, 2024 |  at 05:32 AM |  in 19 min read

  My solutions to srush's AutoDiff Puzzles. This is useful as a quick refresher for computing gradients.

• Back to Backprop

  Published:Dec 12, 2024 |  at 06:42 AM |  in 29 min read

  A review of backpropagation, the workhorse of deep learning.

• Estimating Transformer Model Properties: A Deep Dive

  Published:Dec 7, 2024 |  at 05:44 AM |  in 8 min read

  In this post, we'll explore how to estimate the size of a Transformer model, including the number of parameters, FLOPs, peak memory footprint, and checkpoint size.

• Neural Scaling Laws (Then and Now)

  Published:Dec 3, 2024 |  at 04:07 AM |  in 12 min read

  Scaling laws have been a cornerstone of deep learning research for decades. In this post, we'll explore the history of scaling laws in deep learning, and how they've evolved over time.

• Feeding the Beast - Data Loading Secrets for Hungry Neural Networks

  Published:Dec 3, 2024 |  at 02:53 AM |  in 11 min read

  Data loading is a critical part of training deep learning models. In this post, we'll explore the best practices for loading data into neural networks, with a focus on PyTorch.

• Large-Scale Neural Network Training

  Published:Dec 2, 2024 |  at 01:58 AM |  in 23 min read

  Large-scale neural network training is a critical component of modern machine learning workflows. This post provides an overview of the challenges and solutions for training deep learning models at scale.