Small models are catching up fast. A 3 billion parameter model today beats a 70 billion model from two years ago.
How ? Better training data. Smarter training process. Not more parameters.
The industry chased size for years. Bigger was always better. That era is changing.
Now a model that can fit on your phone can outperform yesterday's server giants.
Don't chase parameter counts. Chase the model that actually solves your task. Test them. The smallest one that works is the best one.
What will you do if intelligence becomes commodity ?