Human-Scale Natural Language Processing
Human-scale Natural Language Processing re-establishes computation as a tool in the radical writer’s toolbox.
Natural Language Processing (NLP) is a subfield of AI that drives pervasive technologies like spell check, search, bots and content moderation. This multi-billion dollar, energy-intensive industry increasingly dictates the shape of everyday language while perpetuating harmful biases. We will practice "human-scale" natural language processing by forgoing pre-existing datasets and models in favor of communally-written texts. This includes exercises in which participants invent new textual categories and hand-tag each other's writing. Participants will learn the basics of text processing, analysis and generation in Python, including parsing, regular expressions, Markov chains and vector similarity.
Many exercises will be performed using analog media as well (for example, cut-ups, free-writes, etc.). In addition, we will prioritize technical approaches that function well on low-end hardware rather than carbon-intensive computation. The goal of the class is for participants to learn more about themselves and their classmates through these communal acts of computational reading and re-writing.
Read more at: https://sfpc.study/sessions/summer-24/human-scale-nlp
Human-Scale Natural Language Processing
by School for Poetic Computation
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