← Back to context Comment by senordevnyc 16 hours ago I thought that inference was now the majority of AI workload, not training. 3 comments senordevnyc Reply yaoke259 15 hours ago in terms of raw token throughput and serving users it is, but in terms of R&D and long term lab capabilities, training is still the goose that lays the golden egg freecodeio 15 hours ago too bad two golden eggs are required to put the goose in a position to lay a golden egg yaoke259 2 hours ago XD
yaoke259 15 hours ago in terms of raw token throughput and serving users it is, but in terms of R&D and long term lab capabilities, training is still the goose that lays the golden egg freecodeio 15 hours ago too bad two golden eggs are required to put the goose in a position to lay a golden egg yaoke259 2 hours ago XD
freecodeio 15 hours ago too bad two golden eggs are required to put the goose in a position to lay a golden egg yaoke259 2 hours ago XD
in terms of raw token throughput and serving users it is, but in terms of R&D and long term lab capabilities, training is still the goose that lays the golden egg
too bad two golden eggs are required to put the goose in a position to lay a golden egg
XD