Agora paper proposes collective, permissionless internet-scale pretraining for large language models; addresses datacenter limitations in model training.
Read the original at arxiv.org→arXiv:2607.13332v1 Announce Type: new Abstract: Training large language models at the multi-billion to trillion parameter scale is confined to datacenters, where data-parallel (DP) and model-parallel (MP) techniques...
Original headline: "Agora: Collective and Permissionless Internet-Scale Pretraining of Large Language Models"