Transformer and Large Language Models - Part II - Lecture 13
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
Dive into the second part of an in-depth lecture on Transformers and Large Language Models (LLMs) from MIT's 6.5940 course, EfficientML.ai. Led by Professor Song Han, this 1-hour and 17-minute Zoom session builds upon previous discussions, exploring advanced concepts and techniques in the field of natural language processing. Gain valuable insights into the latest developments in Transformer architectures and their applications in LLMs. Access accompanying slides at efficientml.ai to enhance your understanding of the material presented in this comprehensive graduate-level exploration of cutting-edge machine learning technologies.
Syllabus
EfficientML.ai Lecture 13 - Transformer and LLM (Part II) (MIT 6.5940, Fall 2023, Zoom)
Taught by
MIT HAN Lab
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX