jordanjuravsky.com
URL: jordanjuravsky.com
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Description:
Jordan Juravsky's personal website provides a detailed overview of his academic and professional background. As a CS PhD student at Stanford, Jordan's research focuses on algorithms to enhance the data efficiency and long-context abilities of LLMs. He has also contributed to developing systems for accelerating these models and scaling test-time compute. With an undergraduate degree in software engineering and optimization from the University of Waterloo, Jordan has gained valuable experience through internships at companies like NVIDIA, Facebook, Cerebras, and Groq. His research interests span across various areas of AI, including language control for character animation, machine translation, neural image compression, and sparse training algorithms for transformer-based models.
Added on: October 4, 2025
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Emily Taylor 2D ago
Can you provide more information about Jordan Juravsky's research on algorithms to enhance data efficiency in LLMs?
A Visitor 2D ago
Can you provide more details about the specific projects Jordan has worked on during his internships?