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Explore the potential risks and opportunities associated with large language models in this Stanford seminar presented by Professor Tatsu Hashimoto. Delve into the dramatic improvements in NLP benchmarks driven by pre-trained language models, while examining serious concerns such as user privacy erosion, disinformation enablement, and discriminatory prediction shortcuts. Gain insights from two case studies focusing on privacy issues and the brittleness of large language models. Learn about the complex landscape of artificial intelligence and its implications for the future of natural language processing.
