Llama3 8B QLora Fine-Tuning with Chain-of-Thought Dataset

Offered By: The Machine Learning Engineer via YouTube

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Discover how to fine-tune a Llama3 8B model using QLora with a Chain-of-Thought (CoT) dataset in this informative 28-minute video tutorial. Learn the step-by-step process of implementing QLora fine-tuning techniques on the Llama3 8B model, specifically focusing on enhancing its performance with CoT reasoning. Access accompanying Jupyter notebooks for Llama3 8B, Llama2 7B, and Mistral 7B models to follow along and apply the concepts demonstrated. Gain valuable insights into machine learning and data science practices while exploring advanced language model fine-tuning techniques.

Syllabus

Llama3 8B QLora Fine Tuning CoT #machinelearning #datascience

Taught by

The Machine Learning Engineer

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent