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When it comes to ML there is no such distinction though. Bigger models == more capable models and for bigger models you need scalability of the algorithm. It's
by valzam 2y ago
When it comes to ML there is no such distinction though. Bigger models == more capable models and for bigger models you need scalability of the algorithm. It's like asking if going to 2nm fabs has any benefit other than putting more transistors in a chip. It's the entire point.