Oh yes, to top it I have small hands - I can't reach almost any of the opposite edge without using two hands. Sigh.
Agreed. YouTube revanced works well too. But are there alternatives for iOS?
intuition: 2 texts similar if cat-ing one to the other barely increases gzip size
no training, no tuning, no params — this is the entire algorithm
https://aclanthology.org/2023.findings-acl.426/
Thanks. Does this also conduct compute benchmarks too? Looks like this is more focused on model accuracy (if I'm not wrong)
As the title suggests, basically i have a few LLM models and wanted to see how they perform with different hardware (Cpus only instances, gpus - t4, v100, a100). Ideally it's to get an idea on the performance and overall price(vm hourly rate/ efficiency)
Currently I've written a script to calculate ms per token, ram usage(memory profiler), total time taken.
Wanted to check if there are better methods or tools. Thanks!
I already miss my muscle memory operations through sync :/