circle

joined 2 years ago
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The vanishing of the small high-end smartphone in c/android@lemmy.world
[–] circle@lemmy.world 5 points 2 years ago

Even I used to believe that there is a good demand, but sadly it's a very small minority.

The vanishing of the small high-end smartphone in c/android@lemmy.world
[–] circle@lemmy.world 10 points 2 years ago

Oh yes, to top it I have small hands - I can't reach almost any of the opposite edge without using two hands. Sigh.

Google raising price of YouTube Premium to $13.99 per month in c/technology@lemmy.world
[–] circle@lemmy.world 1 points 2 years ago

Thanks ill check that out

Google raising price of YouTube Premium to $13.99 per month in c/technology@lemmy.world
[–] circle@lemmy.world 1 points 2 years ago (3 children)

Agreed. YouTube revanced works well too. But are there alternatives for iOS?

Sunset at Düsseldorf main station, Germany in c/pics@lemmy.world
[–] circle@lemmy.world 4 points 2 years ago (1 children)

Love the clock!

2
kNN using a gzip-based distance metric outperforms BERT and other neural methods for OOD sentence classification (lemmy.world)
 

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/

Is there some resource to benchmark LLM performance on a hardware in c/nlprog@lemmy.intai.tech
[–] circle@lemmy.world 2 points 2 years ago

sure, thank you!

What can the 'average Joe' start hosting, that will change their life? in c/selfhosted@lemmy.world
What can the 'average Joe' start hosting, that will change their life? in c/selfhosted@lemmy.world
Is there some resource to benchmark LLM performance on a hardware in c/nlprog@lemmy.intai.tech
[–] circle@lemmy.world 2 points 2 years ago (2 children)

Thanks. Does this also conduct compute benchmarks too? Looks like this is more focused on model accuracy (if I'm not wrong)

4
Is there some resource to benchmark LLM performance on a hardware (lemmy.world)
 

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!

The Reddit app-pocalyse is here: Apollo, Sync, and BaconReader go dark | Many major third-party apps are finally shutting down. in c/technology@lemmy.world
[–] circle@lemmy.world 3 points 2 years ago (2 children)

I already miss my muscle memory operations through sync :/

Sync for Lemmy signup is now open! in c/android@lemmy.world
[–] circle@lemmy.world 2 points 2 years ago

Can't wait!