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Transformer and Large Language Models - Part II - Lecture 13

Offered By: MIT HAN Lab via YouTube

Tags

Transformers Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses Attention Mechanisms Courses Sequence to Sequence Models Courses Encoder-Decoder Architecture Courses Self-Attention Courses

Course Description

Overview

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Dive into the second part of a comprehensive lecture on Transformers and Large Language Models (LLMs) from MIT's 6.5940 course, EfficientML.ai. Explore advanced concepts and techniques in natural language processing as Professor Song Han delves deeper into the architecture and applications of these powerful models. Gain insights into the latest developments in the field, including optimization strategies and practical implementations. Access accompanying slides for enhanced learning and visual aids. Suitable for students and professionals seeking to expand their knowledge of cutting-edge machine learning technologies.

Syllabus

EfficientML.ai Lecture 13 - Transformer and LLM (Part II) (MIT 6.5940, Fall 2023)


Taught by

MIT HAN Lab

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