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LLM Post-Training Techniques - Lecture 14

MIT HAN Lab via YouTube

Overview

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Explore advanced techniques for LLM post-training in this recorded MIT lecture from the EfficientML.ai course (6.5940, Fall 2024). Professor Song Han delves into essential deployment strategies and post-training methodologies for Large Language Models, providing comprehensive insights into optimizing LLM performance. Learn practical approaches to enhance model efficiency, understand deployment considerations, and master post-training techniques that are crucial for real-world LLM applications. Access detailed explanations and examples through accompanying slides available on efficientml.ai, making complex concepts accessible for both students and practitioners in the field of machine learning.

Syllabus

EfficientML.ai Lecture 14 - LLM Post-Training (MIT 6.5940, Fall 2024, Zoom Recording)

Taught by

MIT HAN Lab

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