liteclient
Joined 11 months ago
Karma
2
Submissions
7
Member since
Nov 27
https://liteclient.com
View on Hacker NewsJoined 11 months ago
they replace dot-product attention with topology-based scalar distances derived from a laplacian embedding - that effectively reduces attention scoring to a 1D energy comparison which can save memory and compute
that said, i’d treat the results with a grain of salt give there is no peer review, and benchmarks are only on 30M parameter model so far
This is still in very early phase - plan is to make it fully featured and functional in the next few days without requiring you to sign-in just to test your APIs.