Robert Ajemian

Professor at MIT, who shared his surprise at the effectiveness of large language models and discussed self-supervised learning and transformer architecture.

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Mar 27, 2024 • 49min

Babbage: The science that built the AI revolution—part four

Fei-Fei Li, a Stanford professor and computer vision pioneer, and Robert Ajemian, an MIT professor, delve into the evolution of generative AI. They discuss the game-changing role of transformer architecture and self-supervised learning in the development of large language models like ChatGPT. The conversation highlights the surprising efficacy of these models, the transformative potential of generative AI across industries, and the ethical implications of technologies such as deepfakes. Prepare for a fascinating exploration of creativity and intelligence in machines!