5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Incentivizing Permissionless Distributed Learning of LLMs
Joel Lidin, Amir Sarfi, Evangelos Pappas +3
We describe an incentive system for distributed deep learning of foundational models where peers are rewarded for contributions. The incentive system, \textit{Gauntlet}, has been d…
cs.AI2023★ 2 cited
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model
Nolan Dey, Daria Soboleva, Faisal Al-Khateeb +11
We introduce the Bittensor Language Model, called "BTLM-3B-8K", a new state-of-the-art 3 billion parameter open-source language model. BTLM-3B-8K was trained on 627B tokens from th…
cs.AI2020★ 5 cited
BitTensor: A Peer-to-Peer Intelligence Market
Yuma Rao, Jacob Steeves, Ala Shaabana +2
As with other commodities, markets could help us efficiently produce machine intelligence. We propose a market where intelligence is priced by other intelligence systems peer-to-pe…