Measuring compute, data, and parameters

Audio versions of blogs and papers from BlueDot courses.

By Ethan Mollick

This post explains the "scaling laws" that drive rapid AI progress: when you make AI models bigger and train them with more computing power, they get smarter at most tasks. The piece also introduces a second scaling law, where AI performance improves by spending more time "thinking" before responding.

Source:

|https://www.oneusefulthing.org/p/scaling-the-state-of-play-in-ai

A podcast by BlueDot Impact.