In this conversation between Ron and In Young from Jane Street’s Signals & Threads podcast, they discuss various aspects of their work involving machine learning (ML) in finance. They touch upon leveraging ML for trading strategies, predicting market trends using deep neural networks, fine-tuning models with internal data sets, the potential value of AI assistants to enhance efficiency within the organization, and challenges associated with determining optimal paths for integrating foundation models into their existing systems. Ron also mentions a slower pace in releasing new episodes due to increased workload but assures listeners that they have exciting future content planned.
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