Building a Minimal Transformer for 10-digit Addition
Summary
The article appears to explore a compact Transformer architecture designed to learn 10-digit addition, illustrating how small neural models can handle structured arithmetic tasks. It likely covers model design, dataset construction, training setup, and evaluation, offering insights into when minimal Transformers are sufficient for simple computational problems.