AIxD show + tell: Small Language Models
ABOUT THE SESSION
Join us in this Show & Tell & Learn session about fine-tuning large language models.
This will be a semi-facilitated community session where we'll invite attendees to share their screen for 10-minutes and talk us through their fine-tuning workflow including:
How you compiled your training data / corpus and what it included
Your model / tools and tech stack
Your desired + actual outputs
We'll hold space in between for everyone to ask questions, brainstorm cute builds, and discuss any adjacent thoughts.
WHO IS THIS FOR?
Anyone who has fine-tuned their own language models and would like to share their insights with the Small AI artist team.
Anyone interested in building a small language model and would like to share more information about the type(s) of training data you like to use, and helpful outputs.
ABOUT SLOW AI PROJECT
In this project, we will interrogate and publish critical AI discourse in a format that makes sense to us and our practices, namely zines and creative technology installations. Inspired by the counter-movements of slow fashion and slow food, this project will investigate three emerging AI counter-narratives –Small AI 🐜, Ancestral AI 🐚, and Esoteric AI 🔮 – and explore what it might look like to incorporate them in our everyday practice.
At project end we will publish an anthology – a hot compost pile of miro boards, zines, and art that we hope sparks new ways to think and talk about AI.
Follow this page to stay up-to-date on Slow AI. Slow AI is made possible by Stimuleringsfonds <3
🐜 ABOUT SMALL AI
Lead by researcher Nadia Nadesan, Small AI questions the dominance of large-scale models by addressing environmental impact, discriminatory language, and cultural preservation. It’s an invitation to use notions of fractals, friction, and fragmented-ness in nature and math to inspire ideas around Small AI and send ripples that shift practices around Big AI. It advocates for equitable, sustainable alternatives, prompting exploration of community-focused governance, and interconnectedness as pathways to more just futures. In this research we ask: What is possible when our objective is cultural creation and preservation instead of scale or profit?
🐜 About Gabriella Garcia
Gabriella Garcia is a creative researcher with over a decade of experience of sharing stories about networked subcultures and technologically-enabled intimacy. She is currently developing a practice that uses speculative fiction and magical realism to gather sex workers together over designing futures toward potential real-world solutions. Between 2020-’24 she directed Decoding Stigma, a collective prioritizing erotic labor as a necessary ethics question for futurists. Her expanded practice includes techno-feminist research, community-centered archiving, multimedia performance art, and poetic technology. As a performance artist, Gabriella works to create spaces ruled by vulnerability.
🐜 About Arnab Chakravarty
Arnab is a designer and creative technologist with a passion for building what he designs. He holds a Master’s degree from ITP, NYU, where he was an Accessibility Researcher at NYU’s Ability Lab and an Artist-in-residence at Carnegie Mellon University. Currently, he is developing a game that explores the human impact of AI as part of his Creative Media Award from the Mozilla Foundation. Arnab is also the technical director of Broken Ghost Immersives, a theater collective blending immersive theater, escape rooms, and games, with his work showcased at prestigious venues like the India Art Fair and Kochi Biennale.
ABOUT AIxDESIGN
AIxDESIGN (AIxD) is a global community of designers, researchers, creative technologists, and activists using AI in pursuit of creativity, justice and joy and living lab exploring participatory, slow, and more-than-corporate AI. Learn more at aixdesign.co.