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

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