Research2d ago
Nemotron-Labs Debuts Diffusion Language Models
A new framework from Nemotron-Labs applies diffusion processes to text generation to bypass traditional token-by-token sampling. This approach enables parallelized decoding, drastically reducing inference latency. While the method shows promise for speed, it currently struggles with the discrete nature of language. Researchers must now refine sampling to maintain coherence at high speeds.