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Nektar Baziotis is a distinguished Senior Research Scientist at Google DeepMind, focusing on Natural Language Processing (NLP) and Large Language Models (LLMs). He holds a Ph.D. in Computer Science from the Athens University of Economics and Business, where his research centered on deep learning methods for natural language understanding. Nektar is deeply involved in developing and improving the capabilities of LLMs, with a keen interest in areas such as machine translation, text generation, reasoning, and making these models more efficient and reliable. He is passionate about pushing the frontiers of artificial intelligence and its applications in understanding and interacting with human language.
Nektar Baziotis 🌿's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Contributes to cutting-edge research and development of Large Language Models, working on some of the most advanced AI projects globally, aiming to build more capable and general AI systems.
Completed doctoral studies at the Athens University of Economics and Business, specializing in deep learning techniques for natural language processing, laying a strong foundation for his impactful research career.
Authored and co-authored numerous papers presented at prestigious AI and NLP conferences like NeurIPS, ACL, EMNLP, and ICLR, contributing significant findings to the scientific community in areas such as machine translation, representation learning, and LLM efficiency.
Has actively contributed to the NLP community, sometimes through code releases or by participating in shared tasks and benchmarks, helping to advance the field collectively.
Massachusetts Institute of Technology - Year 2019
Wharton Online - Year 2023
The University of Sheffield - Year 2002
Aristotle University of Thessaloniki (AUTH) - Year 1997
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ICARUS AI E-Learning is a forward-thinking educational technology company dedicated to transforming the learning landscape through artificial intelligence. We specialize in developing personalized and adaptive e-learning platforms that cater to individual learning styles and paces. Our solutions aim to enhance knowledge retention, improve engagement, and provide actionable insights for both learners and educators in corporate and academic environments. We strive to make high-quality, AI-driven education accessible and effective for everyone.
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