For years, advancements in AI have followed a clear trajectory through pretraining scaling: larger models, more data, and greater computational resources lead…
For years, advancements in AI have followed a clear trajectory through pretraining scaling: larger models, more data, and greater computational resources lead to breakthrough capabilities. In the last 5 years, pretraining scaling has increased compute requirements at an incredible rate of 50M times. However, building more intelligent systems is no longer just about pretraining bigger models.
