Improving the Models – Smaller Data, Bigger Dreams
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UIC Today shared part of the Learning with the Machines feature on how UIC educators and researchers are exploring the impact of large language models. Moontae Lee, Assistant Professor of Information and Decision Sciences is quoted, “For the creative process, hallucination could be our friend because one can generate something new from already existing pieces,” Lee said.
This phenomenon has already been embraced by some users of generative models for creating images, where the unexpected results of a particular prompt can produce fascinating weirdness. In text models, Lee sees a role of these unanticipated outputs for idea generation. A scientist, for example, could query a chatbot for new experiments to explore or counterfactual questions — interpolation or extrapolation generated by large language models might turn out to be a promising hypothesis.