What this means is they might get there at the identical solution by coaching on significantly much less knowledge. For example, which has a 50x efficiency Improve, the MBTL algorithm could train on just two tasks and realize the identical efficiency as a normal strategy which utilizes knowledge from a hundred tasks. Although even bigger dataset