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Caglar Gulcehre is a researcher at École polytechnique fédérale de Lausanne (EPFL) within the Information and Communication Sciences. His research specializes in large language models and deep learning methodologies, focusing on the necessary roles of datasets, pre-training, and post-training methodologies to enhance model performance and scalability. Caglar is involved in teaching, supervising PhD students, and guiding various projects within his area of expertise. His commitment to advancing knowledge in natural language processing and machine learning is evident through his active mentorship and research contributions.
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