AIFIRST How to Build a Diffusion Language Model
The brief
The Kuleshov Group at Cornell published a step-by-step guide to building diffusion language models from scratch.
Key points
- The post covers the masked diffusion process for discrete tokens, the forward corruption schedule, and practical training details.
- It accompanies their recent paper on improved masked diffusion models and includes working code.
Sources
- HNkuleshov-group.github.io