The Transformer Revolution in AI

The entire modern AI revolution exists because researchers decided to delete the memory from

neural networks. Before 2017, AI read text sequentially, one word at a time, which was incredibly

slow and forgot context easily. Then Google dropped the Transformer. Instead of reading

in a line, this model looks at every single word in a sentence simultaneously.

It uses a mechanism called self-attention to instantly connect related words, no matter how far

apart they are. This didn't just crush translation records; it made training massive

models possible, literally building the foundation for the generative AI era we are living

in now.