Research language-modeling approach that generates text coarse-to-fine, producing tokens in parallel within each stage.
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Next Concept Modeling (NCM) is a research approach to language modeling from Stanford's Hazy Research group. Instead of generating text strictly left to right, it generates from coarse concepts to fine details, producing tokens in parallel within each stage.
According to a creator summary, it is reported to be up to 21x faster than other diffusion language models and 31x faster on summarization tasks. These figures are second-hand and have not been verified against a paper or official page. Code has reportedly been released.
It is a research project rather than a product, so there is no hosted service or pricing. Details such as model sizes, licence and benchmarks could not be confirmed from official sources.
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Language modeling approach that generates text from coarse concepts to fine details, producing tokens in parallel within each stage. Reported up to 21x faster than other diffusion language models and 31x faster on summarization; code released.
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