NCM Architecture in LLMs: Rethinking How AI Generates Text
Traditional LLMs generate text through sequential next-token prediction. But what if we could rethink how AI generates text? Next-Concept Modeling (NCM) explores an alternative approach, generating hierarchical representations from coarse to fine while enabling parallel predictions within each leve
Traditional LLMs generate text through sequential next-token prediction. But what if we could rethink how AI generates text?
Next-Concept Modeling (NCM) explores an alternative approach, generating hierarchical representations from coarse to fine while enabling parallel predictions within each level.
In my latest blog, I explore the core architecture, its generation workflow, potential performance benefits, and the challenges of moving beyond conventional token-by-token generation.
📖 Read the full article for a deeper technical overview:
https://dhivs25.medium.com/ncm-architecture-in-llms-rethinking-how-ai-generates-4d13363d4dbb
I’d love to hear your thoughts: Could hierarchical, parallel generation play an important role in the future of LLM inference?