This comprehensive course on Natural Language Processing (NLP) and Large Language Models (LLMs) introduces participants to the foundational concepts and advanced techniques in the realm of machine learning that enable computers to understand, interpret, and generate human language. Through a blend of theoretical instruction and practical exercises, students will explore key topics such as text processing, sentiment analysis, language generation, and the architecture of state-of-the-art models like GPT-4. Students will gain hands-on experience in training, fine-tuning, and deploying large language models for a variety of applications, including chatbots, automated content creation, and linguistic data analysis. Emphasizing ethical considerations and the societal impacts of NLP technologies, this course equips students with the skills to leverage the power of language models responsibly and innovatively in their future projects or research.
MAI 568: Natural Language Processing and Large Language Models
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Grad Scheme
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Prerequisite Courses