YoVDO

Fine-Tuning GPT-3.5 Turbo for Complex Tasks with Minimal System Messages

Offered By: echohive via YouTube

Tags

GPT-4 Courses Data Preparation Courses Model Evaluation Courses Parallel Processing Courses Fine-Tuning Courses GPT-3.5 Turbo Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to fine-tune GPT-3.5 Turbo for complex tasks with minimal system prompts in this comprehensive 31-minute tutorial. Explore techniques for downloading Wikipedia articles, utilizing GPT-3.5 Turbo Instruct, and leveraging GPT-4 to evaluate document summaries. Master the process of creating fine-tuning datasets for both training and validation, fine-tuning models, managing fine-tuning tasks, and navigating the new OpenAI Playground fine-tuning interface. Gain insights into parallel processing for improved efficiency and discover how to combine summary evaluations effectively.

Syllabus

Intro
Summary eval code review
Downlading wikipedia articles code review
GPT 3.5 instruct summaries code review
GPT 3.5 instructr summary parallel code review
GPT-4 Summary eval code review
GPT-4 Summary eval parallel code review
Combine summary evaluations
creating fine tuning dataset code review
Fine tuning code review


Taught by

echohive

Related Courses

Macroeconometric Forecasting
International Monetary Fund via edX Machine Learning With Big Data
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Data Science in Action - Building a Predictive Churn Model
SAP Learning