Epistemic status: whimsical

Bees: a new unit of measurement for ML model size

Talking about modern ML models inevitably leads to a bunch of hard-to-intuit large numbers, especially when it comes to parameter count.

To address this, Lawrence Chan and I propose that we adopt a new, human-friendly unit to measure the number of learnable parameters in an architecture:

1 beepower = 1 BP = 1 billion parameters

Read the rest of this post on LessWrong.