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Stanford Seminar - Emerging risks and opportunities from large language models

Duration: 58:24Views: 20.6KLikes: 350Date Created: Apr, 2022

Channel: Stanford Online

Category: Education

Tags: seminarstanfordaiartificial intellifencecs521stanford seminarai safety

Description: Tatsu Hashimoto, Professor of Computer Science at Stanford University April 20, 2022 Large, pre-trained language models have driven dramatic improvements in performance for a range of challenging NLP benchmarks. However, these language models also present serious risks such as eroding user privacy, enabling disinformation, and relying on discriminatory `shortcutsโ€™ for prediction. In this talk, we will provide a short overview of a range of potential harms from language models, as well as two case studies in the privacy and brittleness of large language models. For more information about Stanfordโ€™s Artificial Intelligence professional and graduate programs, visit: stanford.io/ai

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