Research
Reddit thread introduces Next-Concept Modeling, a hierarchical discrete-code alternative to token-by-token generation
NCM learns a hierarchy of discrete codes, generating coarse codes first and finer codes in parallel before decoding to text. The researchers report up to 31x faster generation than diffusion language model baselines on specific benchmarks.
Every outlet that ran it 1 article
r/MachineLearningCommunityLead
I just came across Next-Concept Modeling and the idea is fascinating[R]