KlondikeDev/Boris-2-0917
Text Generation • Updated • 2
Joseph Jones PRO
KlondikeDev
AI & ML interests
Restoring the Digital Millennium. https://kunix.org/digital-millennium.html
Recent Activity
new activity 3 days ago
slmconsortium/README:New Member Ratification: ray0rf1re liked a model 8 days ago
burner22/numbat reacted to Saccadic-AI's post with 🔥 9 days ago
One neural network. Five mathematical operations. Different learning times.
We trained a small mixture-of-experts transformer on addition, subtraction, multiplication, division, and exponentiation modulo 113.
The operations didn’t generalize together. Multiplication and division reached 90% held-out accuracy first, followed by exponentiation, subtraction, and finally addition.
Multiplication before addition—the reverse of what we expect from a schoolchild.
The accuracy chart in the linked article shows why a single overall accuracy number can hide an interesting learning story.
Measured with IRIS from Saccadic LLC. More figures and analysis: https://huggingface.co/blog/Saccadic-AI/accuracy-plateaued-the-model-kept-changing
Have you observed a similar ordering in multi-task grokking experiments?Organizations
