tCO2e. The carbon footprint of training LaMDA models is hence 21.2X smaller than GPT-3 [108], and approximately
equivalent to 22 passengers taking a round trip between San Francisco and New York (1.2 tCO2e / passenger [108]).
LaMDA uses more FLOPS with 0.4X the energy of GPT-3 but its carbon footprint for training is signiﬁcantly smaller
than GPT-3 primarily because our energy mix is more optimized (LaMDA: 0.056, GPT-3: 0.429 [108]).
LaMDA- Language Models for Dialog Applications