YoVDO

Preparing Fine-tuning Datasets with Open Source LLMs

Offered By: Trelis Research via YouTube

Tags

Fine-Tuning Courses Data Science Courses Machine Learning Courses GitHub Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to prepare fine-tuning datasets using open source large language models in this 15-minute video tutorial. Explore techniques for Q&A dataset preparation using Llama 2 70B and chat-ui. Discover how to set up a Llama 2 API for the 70B model and utilize it to create a Q&A dataset suitable for fine-tuning. Gain valuable pro tips for dataset preparation and access a GitHub repository containing data preparation scripts. Follow along as the tutorial covers accessing resources, implementing preparation techniques, and optimizing your approach to fine-tuning datasets for large language models.

Syllabus

Preparing data for fine-tuning
Video overview
Accessing the GitHub Repo w/ data preparation scripts
Q&A Dataset preparation using Llama 2 70B and chat-ui
How to set up a Llama 2 API for 70B
Using a Llama 2 API to prepare a Q&A dataset for fine-tuning
Pro tips for preparing fine-tuning datasets


Taught by

Trelis Research

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