On 11 November 2025, Miklós Sebők delivered a lecture at University of Kentucky as part of the 2025 Fall Seminar Series. His presentation, titled Using AI Assistants in Comparative Research: The Case of the Comparative Agendas Project and the Babel Machine, introduced new AI-driven tools developed by poltextLAB to support large-scale political text classification. Sebők outlined a fine-tuning agent that enables researchers to adapt multilingual transformer models through natural-language instructions in Slack, automating validation, data strategy selection, and GPU-based training processes. He also presented RobotAssistant, a multi-model comparison framework that deploys classification tasks simultaneously across systems such as Claude, GPT, and DeepSeek. Together, these innovations aim to democratise gold-standard machine coding and reduce technical barriers in comparative political research.
Further details of the event can be found here: https://martin.uky.edu/events/seminar-miklos-sebok
