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LLM Post-Training - Lecture 14

MIT HAN Lab via YouTube

Overview

Explore advanced concepts in Large Language Model (LLM) post-training techniques through a comprehensive MIT lecture delivered by Professor Song Han. Delve into the intricacies of fine-tuning and optimizing LLMs after their initial training phase, gaining valuable insights into improving model performance and efficiency. Learn about cutting-edge methodologies and best practices in LLM post-training, drawing from academic research and industry applications. Master the theoretical foundations and practical implementations of post-training techniques that enhance LLM capabilities while maintaining computational efficiency.

Syllabus

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

Taught by

MIT HAN Lab

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