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The tutorial focuses on foundation models and language models in mathematics, specifically large language models like chat GPT. These models provide a platform for sequence generation, allowing for various tasks such as summarizing documents or generating code. The key idea is to collect a large amount of diverse data, train a generative model, and adapt it to different tasks. This process may involve reinforcement learning and prompting. The impact of these models on various fields is an interesting question to consider.
