RCTM

Training compute

9.3×10¹⁵ FLOP

Published

Oct 1, 2013

RCTM is an AI model developed by University of Oxford (United Kingdom), first published in October 2013. It works in the language domain, on tasks such as translation.

Training it took an estimated 9.3×10¹⁵ FLOP of compute (estimation method: hardware). It was trained on roughly 4.5M datapoints.

Epoch AI rates the confidence of this record as likely.

Full record

Organization: University of Oxford
Country of organization: United Kingdom
Domain: Language
Task: Translation
Training compute: 9.3×10¹⁵ FLOP
Compute estimation method: Hardware
Dataset size: 4.5M
Chips used: 3
Training time: 15 h
Epoch confidence: Likely