In this post, I want to share a recent worksheet I wrote for Machine Learning for Kids. It is perhaps a little on the technical side, but I think there is an interesting idea in here.
The lesson behind this project
The idea for this project was to get students thinking about the differences between different language models.
There isn’t a “best” model, that is the best at every task. Each model can be good at some tasks, and less good at other tasks.
The best model for a specific task isn’t always necessarily going to be the largest and most complex model. Smaller and simpler models can be better at some tasks than larger models.
And we can identify how good each model is at a specific task by testing it at that task.