Machine learning and other gibberish
See also: https://sharing.leima.is
Archives: https://datumorphism.leima.is/amneumarkt/
#ai

Simple yet deep. I love this piece of work.

Nylund, Kai, Suchin Gururangan, and Noah A. Smith. 2023. “Time Is Encoded in the Weights of Finetuned Language Models.” arXiv [Cs.CL]. arXiv. http://arxiv.org/abs/2312.13401.
#misc

Background: https://www.reddit.com/r/MapPorn/s/7SA4Ri7bZW

Someone made a visualization of "the percentage of workforce who are women by country".

The visualization itself is terrible, especially the color scheme. However, it sparked a lot of discussions and this one is top.
#fun

I was digging into my google drive files and found this funny story in one of my slide decks.

Just in case, Guido is the creator of Python.

I do not have any reference for this screenshot as I didn't include one in my slide. So I would call this unverified.
#fun

There are normal and professional contests, and then this:

The International Obfuscated C Code Contest

https://ioccc.org/

Alright, someone please host a Python version of it. It could go completely wild.
#dl

Google & USC benchmarked a prompt based forecasting method, and the results are amazing.

Cao D, Jia F, Arik SO, Pfister T, Zheng Y, Ye W, et al. TEMPO: Prompt-based Generative Pre-trained Transformer for time series forecasting. arXiv [cs.LG]. 2023. Available: http://arxiv.org/abs/2310.04948
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