kaupane/inko-rollout-25k
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Wang Weiyi PRO
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Embodied AI and whatever is fun
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upvoted a paper about 23 hours ago
Loop the Loopies! liked a model about 23 hours ago
zitian-gao/Loopie-20B-A2B-preview reacted to Saccadic-AI's post with 🔥 5 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
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