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Episode 35: Percy Liang, Stanford: On the paradigm shift and societal effects of foundation models

Generally Intelligent

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Evolution of Language Models and Foundation Models in AI Research

The chapter traces the speaker's journey from early AI interest to developing language models for tasks like part-of-speech tagging. It discusses the challenges in machine learning, creation of the SQuAD dataset, and the paradigm shift with models like GPT-3. The conversation delves into the societal impacts of foundation models, the importance of evaluation, and the need for more funding in evaluation data creation.

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