[briga]

I've seen the same things in the models I've built. For basic intent classification simpler models seem to be more accurate, not to mention they train faster and require less memory. There seems to be a lot of emphasis on shiny complex neural network architectures, even when simple models work just fine.

[FridgeSeal]

> There seems to be a lot of emphasis on shiny complex neural network architectures, even when simple models work just fine.

It's resume-driven-development for data scientists.

I've never seen an interviewer impressed with the fact that a job was performed using not-deep learning, but say that you used deep learning (despite how spurious it might be) and they light up like it's Christmas.