cMoLLM at scale: horizontal scaling laws for mixture-of-LLMs
Read the original at arxiv.org→arXiv:2607.22577v1 Announce Type: new Abstract: Scaling large language models (LLMs) has driven their success, yet dense Transformers couple capacity and computation: every parameter is activated for every token,...
Original headline: "cMoLLM at Scale: Horizontal Scaling Laws for Mixture-of-LLMs"
Coverage timeline
- Jul 28, 04:00 UTC arXiv cs.AI lead source cMoLLM at Scale: Horizontal Scaling Laws for Mixture-of-LLMs