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Efficient Fine-tuning and Prompt Engineering - Lecture 20

Offered By: MIT HAN Lab via YouTube

Tags

Prompt Engineering Courses Few-shot Learning Courses LoRA (Low-Rank Adaptation) Courses Fine-Tuning Courses In-context Learning Courses Prompt Tuning Courses Parameter-Efficient Fine-Tuning Courses

Course Description

Overview

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Explore efficient fine-tuning techniques and prompt engineering strategies in this 1-hour 17-minute lecture from MIT's 6.5940 course on Efficient Machine Learning. Delivered by Professor Song Han via Zoom for the Fall 2023 semester, the lecture delves into advanced topics crucial for optimizing machine learning models. Gain insights into cutting-edge methods for improving model performance and adaptability through fine-tuning, while also mastering the art of crafting effective prompts to enhance AI interactions. Access accompanying slides at efficientml.ai to reinforce your understanding of these essential concepts in the field of efficient machine learning.

Syllabus

EfficientML.ai Lecture 20: Efficient Fine-tuning and Prompt Engineering (MIT 6.5940,Fall 2023,Zoom)


Taught by

MIT HAN Lab

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