If you compare what BigBird is good at to what GPT-3 is good at, what are the relative strengths of each system?
GPT-3 is only using a sequence length of 2048. In most of our paper, we use 4096, but we can go much larger 16k+. Of course, we don't nearly have as many parameters as GPT-3, so our generalization may not be as good.
BigBird is just an attention mechanism and could actually be complementary to GPT-3.