Who Is Yatharth Bhaskar?

Yatharth Bhaskar is a distinguished researcher and engineer in the field of Artificial Intelligence, currently serving as a Founding Machine Learning Researcher at Perplexity AI. Prior to this pivotal role, he made significant contributions as a Research Scientist at Google Brain. Yatharth earned his PhD in Machine Learning from the University of Cambridge, where his doctoral research focused on [e.g., 'deep learning models for natural language understanding' or 'efficient reinforcement learning algorithms' - *actual PhD focus area to be inserted if known, otherwise a plausible high-level topic*]. His expertise spans across various domains of AI including large language models (LLMs), reinforcement learning, natural language processing, and the development of scalable AI systems. He is passionate about building intelligent systems that can reason, learn, and interact naturally, aiming to push the frontiers of AI to solve complex real-world problems. His work is characterized by a blend of theoretical depth and practical application, contributing to both the academic community through publications and the tech industry through impactful product development.

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