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Karthik Narasimhan is an assistant professor in the Computer Science department at Princeton University. His research spans the areas of natural language processing and reinforcement learning, with the goal of building intelligent agents that learn to operate in the world through both their own experience and reading existing human knowledge. Karthik received his PhD from MIT in 2017, and spent a year as a visiting research scientist at OpenAI prior to joining Princeton in 2018. His research work has received multiple paper awards at top NLP conferences (EMNLP 2015, 2016) and he regularly teaches COS 484: Introduction to NLP at Princeton.
Recent advances have ushered in exciting developments in natural language processing (NLP), especially with the development of large language models (LLMs) like ChatGPT that can translate text, answer questions, and even hold spoken conversations with humans. This seminar will introduce LLMs, describe how they work at a high level and discuss what they can and cannot do at present. There will also be a practical component focusing on applications and tools that can be built with LLMs to assist in areas like education, healthcare, social studies, and other fields. Prior programming experience will be helpful for the hands-on component, although not strictly necessary.