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How Deep Learning Has Changed Over the Past Few Years?
When you first started this project, deep learning was in its infancy. And certainly, we see natural language processing evolve pretty dramatically over the past several years with the emergence of large language models. How do you deal with that change tat's happening parallel for such a big problem? This actually hasa uninteresting history in the project, because when we started, deep learning was not really dominantin in the nlp. So we started with feature engineering and logistic aggressions for claim detection and evidence detection and so on. I admit i was very suspicious about this deep learning trench, and, not to say, annoyed by it, when it started to show up.