94-812 Applications of NL(X) and LLM
6 units, Carnegie Mellon University
prereqs PPMside students, 90803 as a prerequisite MISMside students,95828 as a prerequisite or corequisite With the rapid rise in popularity and adoption of Generative AI, the world of NLP has expanded beyond traditional boundaries, offering unprecedented opportunities in business and industry. This comprehensive course is meticulously designed to provide an indepth understanding of the vast landscape of Natural Language NL processing, understanding, generation, reasoning, planning, and optimization Xfor processing, understanding etc.,. Our course covers the evolution of NLP and delves into the intricacies of deep learning, transformer models, and the applications of large language models. The course introduces the foundational concepts of NLX, diving deep into techniques for sentiment analysis, named entity recognition, and question answering. As the course progresses, students will explore the world of chatbots, conversational AI, word embeddings, vector databases, and the revolutionary transformer models like BERT. The latter part of the course delves into the capabilities and applications of large language models, emphasizing their role in tasks like retrieval augmented generation and their use as generative agents for reasoning, planning, and optimization. Several handson examples and exercises are integrated throughout the course, offering students practical experience in applying the learned techniques. Guest lectures and practical LLM applications in healthcare and financial services will demonstrate how enterprises are building and using these modern technologies. The course culminates in a final project presentation, allowing students to showcase their mastery of the content. This course is an invaluable resource for those aspiring to delve deep into the world of NLX and Generative AI, offering practical insights and knowledge that can be immediately applied in the real world.
Prerequisites: 90-803 (min C) or 17-644 (min C) or 10-601 (min C) or 95-828 (min C)
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