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Overview
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Explore the fundamentals of language models and inference algorithms in this comprehensive lecture from CMU's Advanced NLP course. Learn what constitutes a language model and understand the core concepts of inference algorithms, while gaining clarity on the scope and limitations of the coverage. Dive into transformer architectures and discover how modern language models operate under the hood. Examine the critical distinction between modeling errors and search errors that affect language model performance. Access additional course materials and resources through the provided class website to deepen your understanding of these foundational concepts in natural language processing.
Syllabus
CMU LLM Inference (1): Introduction to Language Models and Inference
Taught by
Graham Neubig