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Jiaxi Fang, PhD, is a distinguished Research Scientist at Google, specializing in the field of Artificial Intelligence and Natural Language Processing. His work primarily focuses on the development, understanding, and scaling of Large Language Models (LLMs), contributing to advancements in areas such as model architecture, efficiency, and reasoning capabilities. Dr. Fang earned his PhD in Computer Science from the University of Illinois Urbana-Champaign, where his doctoral research provided a strong foundation for his current contributions to the AI community. He is dedicated to pushing the boundaries of artificial intelligence to build more capable, reliable, and beneficial systems.
Jiaxi Fang, PhD's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a significant role in the research and development of PaLM 2, a state-of-the-art large language model by Google, as a co-author of its comprehensive technical report.
Co-authored influential research exploring the methodologies and outcomes of scaling language models fine-tuned on instructions, enhancing the capabilities of AI systems (e.g., "Scaling Instruction-Finetuned Language Models" paper).
Contributed to the GLaM (Generalist Language Model) project, which pioneered efficient scaling techniques for large language models using a sparsely activated Mixture-of-Experts architecture.
Earned a Doctor of Philosophy in Computer Science from the University of Illinois Urbana-Champaign, focusing on areas related to machine learning and artificial intelligence, with a dissertation likely on topics foundational to his current work.
Has a strong track record of publications in top-tier artificial intelligence conferences and journals, such as NeurIPS, ICML, and ICLR, contributing novel research to the machine learning community.
Washington University in St. Louis - Year 2011
University of California, Davis - Year 2004
University of California, Davis - Year 2004
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Applied Particle Technology (APT) specializes in advanced particle engineering for pharmaceutical applications, focusing on the development and manufacturing of nanoparticle-based therapeutics. Their core expertise lies in creating precisely engineered particles for inhalation drug delivery systems, aiming to improve treatment efficacy for respiratory diseases and other conditions. They offer services from early-stage R&D through to GMP (Good Manufacturing Practice) compliant production.
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