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  1. Jared Kaplan. Johns Hopkins University & Anthropic. Verified email at pha.jhu.edu - Homepage. Theoretical Physics Machine Learning. Title. Sort. Sort by citations Sort by year Sort by title....

  2. I am a theoretical physicist with broad interests in effective field theory, particle physics, cosmology, scattering amplitudes, and the conformal field theory (CFT) bootstrap. My present research uses CFT to learn about quantum gravity via the AdS/CFT correspondence.

  3. Jared Kaplan is a theoretical physicist with interests in quantum gravity, holography, and conformal field theory, as well as effective field theory, particle physics, and cosmology. He is also working on topics at the interface between physics and machine learning.

  4. Jared Kaplan. Department of Physics and Astronomy, Johns Hopkins University. Abstract. AdS/CFT from the perspective of Effective Field Theory and the Conformal Bootstrap. Contents. 1 Introduction 2. 1.1 Why is Quantum Gravity Different?. . . . . . . . . . . . . . . . . . . . . . . . . . .

  5. Publications and CV. Theoretical high-energy physics publications and pre-prints can be found on Inspire; here are mine . My work in both physics and machine learning can be viewed on google scholar. Here’s a version of my CV.

  6. Nov 4, 2020 · Jared Kaplan is an associate professor in the department of physics and astronomy at Johns Hopkins University. Space & Physics November 12, 2020. A Cosmic Video Miniseries...

  7. New Technologies in Mathematics Seminar 3/2/2022Speaker: Jared Kaplan, Johns Hopkins Dept. of Physics & AstronomyTitle: Scaling Laws and Their Implications f...

  8. Since 2012, he has been a professor of physics at Johns Hopkins University. His research has spanned a range of fields, including cosmology, particle physics, dark matter, scattering theory, and, most recently, the AdS/CFT correspondence and quantum gravity.

  9. Jan 23, 2020 · Scaling Laws for Neural Language Models. Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei. We study empirical scaling laws for language model performance on the cross-entropy loss.

  10. Jared Kaplan, Co-founder & Chief Science Officer of Anthropic, joins Clara to discuss Claude 3, how LLMs work, and why trusted AI is so important.Everyone se...

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