In machine learning, for large systems with a lot of users, or difficult questions that require a ton of number-crunching, there’s a dilemma:
Cheap Model → Big Model Design
Cheap Model → Big Model Design
Cheap Model → Big Model Design
In machine learning, for large systems with a lot of users, or difficult questions that require a ton of number-crunching, there’s a dilemma: