Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore advanced natural language processing concepts through this comprehensive lecture series from Carnegie Mellon University's CS 11-711 course taught by Graham Neubig in Spring 2024. Dive deep into cutting-edge NLP topics starting with foundational concepts like word representations and text classification, then progress through language modeling, sequence modeling, and transformer architectures. Master modern techniques including generation algorithms, prompting strategies, fine-tuning, and instruction tuning while learning essential skills in experimental design and human annotation. Discover advanced optimization methods such as distillation, quantization, and pruning, alongside reinforcement learning applications in NLP. Gain insights into debugging and interpretation techniques, ensembling methods, and mixture of experts approaches. Examine the landscape of modern large language models and their applications in code generation, knowledge representation, tool use, and language agents. Explore complex reasoning capabilities, the intersection of linguistics and computational linguistics, and multilingual NLP challenges. Each lecture builds upon previous concepts to provide a thorough understanding of state-of-the-art natural language processing methodologies and their practical implementations.
