In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid progress been possible?
From recurrent networks to GPT-4: Measuring algorithmic progress in language models
