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Mayank Kaushik is a distinguished Principal Applied Scientist at Microsoft, specializing in the field of Artificial Intelligence and Natural Language Processing (NLP). With a strong foundation in computer science from the Indian Institute of Technology, Guwahati, and a Master's from the University of Wisconsin-Madison, he has become a key figure in Microsoft's AI at Scale initiative. His work focuses on developing, training, and optimizing large-scale language models (LLMs) that power a wide range of Microsoft products. Mayank is recognized for his expertise in building robust and efficient AI systems, bridging the gap between cutting-edge research and real-world application.
Mayank Kaushik's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a pivotal role in the development of the Turing family of large language models, including the groundbreaking 17-billion-parameter Turing-NLG, which significantly advanced the capabilities of natural language generation and understanding.
Engineered and contributed to core infrastructure and algorithms for training massive AI models efficiently, helping to solve complex challenges in distributed computing and model optimization for services at global scale.
Co-authored influential research papers presented at top-tier academic conferences. His work on model calibration and large language models has been recognized and cited within the AI research community.
Maharshi Dayanand University - Year 1997
Apeejay College of Engineering - Year 1997
Aggarsain Public School - Year 1986
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Industria de Diseño Textil, S.A., known as Inditex, is a Spanish multinational clothing company headquartered in Arteixo, Galicia. It is the world's largest fashion group, operating over 7,200 stores in 96 markets worldwide. Inditex is renowned for its fast-fashion business model and owns a portfolio of popular brands including Zara, Pull&Bear, Massimo Dutti, Bershka, Stradivarius, Oysho, and Zara Home. The company's unique approach allows it to design, produce, and distribute new styles to its stores with remarkable speed, responding almost instantly to the latest consumer trends.
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