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Self-Supervised Learning and Large Language Models

By The Gradient

November 16, 2021

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In an interview, Stanford PhD candidate Alex Tamkin discusses his research, which focuses on understanding, building, and controlling pre-trained models, especially in domain-general or multimodal settings.

Interview topics include viewmaker networks, opportunities and risks of foundation models, impacts of large language models, research culture, scientific communication, and more.

From The Gradient
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