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Intro
This chapter features a Georgia Tech PhD student who explores the application of reinforcement learning to enhance the reasoning capabilities of large language models. The discussion encompasses their research background, the development of an open-source library for integrating human feedback, and the significance of their experimental work in advancing AI reasoning.