YoVDO

Mistral 7B Fine-Tuning with Q-Lora and Chain-of-Thought Dataset

Offered By: The Machine Learning Engineer via YouTube

Tags

Data Science Courses Machine Learning Courses GitHub Courses Jupyter Notebooks Courses Fine-Tuning Courses Mistral 7B Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to fine-tune the Mistral7B v2 model using QLora and a Chain-of-Thought (CoT) dataset in this comprehensive video tutorial. Explore the process of implementing Chain-of-Thought Fine-Tuning to enhance the model's performance. Access the provided GitHub notebooks for hands-on practice and detailed implementation steps. Gain valuable insights into advanced machine learning techniques and expand your data science skills through this practical demonstration.

Syllabus

Mistral 7B Fine Tuning Q-Lora CoT Dataset #datascience #machinelearning


Taught by

The Machine Learning Engineer

Related Courses

Data Analysis
Johns Hopkins University via Coursera
Computing for Data Analysis
Johns Hopkins University via Coursera
Scientific Computing
University of Washington via Coursera
Introduction to Data Science
University of Washington via Coursera
Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera