Dive into the world of Transformers and Large Language Models (LLMs) with this comprehensive lecture from MIT's 6.5940 course. Explore the fundamental concepts, architectures, and applications of these groundbreaking technologies in natural language processing and beyond. Learn from Professor Song Han as he delves into the intricacies of attention mechanisms, self-attention, and the overall structure of Transformer models. Gain insights into the scaling laws of LLMs and understand their impact on various domains. Discover the challenges and opportunities in developing efficient and powerful language models. Access accompanying slides for visual aids and additional resources to enhance your understanding of this cutting-edge field in artificial intelligence and machine learning.
Overview
Syllabus
EfficientML.ai Lecture 12 - Transformer and LLM (Part I) (MIT 6.5940, Fall 2023)
Taught by
MIT HAN Lab
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