Queer AI began as a collaboration between Emily Martinez and Ben Lerchin in 2018. They wanted to create a chatbot that embodied the messiness of relationships, bodies, and identity.
The first iteration of Queer AI (v1) was trained on 50,000+ conversational pairs derived from scripts in queer theatre, using an RNN seq-to-seq algorithm. Ben wrote the code and prepped the data. Emily wrote manifestos and talked to bots.
The second iteration (2020) uses GPT-2, a large transformer-based language model with 1.5 billion parameters, trained on a dataset of 8 million web pages. Emily trained this model while working on her ML5 fellowship project.
The project includes A.I. generated zines and community workshops.
UX workshop and design sprint