Billy Ho
Physicality of ML Final Documentation
I have been working with GPT-3 for a semester so far, my interest for large natural language processing stems from my fascination for the existential implications for both humans and machines it has since brought on. The decision on working with this certain model is a result for my previous explorations on two domains which I will elaborate on the following section.
To provide additional layers of context, I'd like to include a reference to the final prototype I did for my major studio 1. Where I situated an image classification machine learning system (ML5 running on p5.js) in front its "psychic" → (A realtime visual representing different weights of the models output.)
The idea of a feedback loop later became a major motif for my explorations with decision making agents. I later became obsessed with the idea of "text" as the shape of identities. The idea of text being a low level tool for both human and machines to transpile and store informations, creating layers of metaphors and thus again creating the action of multiple feedback loops.
*The major inspiration for my second domain.*
A combination of these two domains led me to the exciting world of NLPs, of which one could argue is the most "affective" sections of current machine learning progression that can be appreciated by public audiences.
The progress and prototypes for this assignment served as a short detour for my thesis exploration. Jumping to the post mortem for a bit, after the really helpful feedbacks from my crit session on Wednesday, I now can set up my progress in a more confined and hopefully clearer context.
A general view of my workflow