Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process
Offered By: echohive via YouTube
Course Description
Overview
Learn how to fine-tune GPT-3.5 Turbo in Python using the OpenAI API through this comprehensive video tutorial. Follow step-by-step instructions covering the entire process, from generating and uploading datasets to starting and managing fine-tuning jobs. Discover techniques for tracking progress in real-time, plotting results, and handling various aspects of the fine-tuning process. Gain valuable insights into working with large language models and leveraging the OpenAI API for customized AI applications.
Syllabus
What we will learn
Generating fine tuning dataset
Uploading your dataset
Starting a Fine Tuning job
Listing Fine Tuning jobs
Cancelling Fine Tuning jobs
Retrieving the progress of a Fine Tuning job
Deleting a fine tuned model
Tracking Fine Tuning progress in real time
Plotting Fine Tuning progress
Taught by
echohive
Related Courses
Build Conversational Agents with Vector DBs - LangChainJames Briggs via YouTube Langchain in JavaScript - Step by Step Introduction
echohive via YouTube Building Chatbot Agents from Scratch with OpenAI Functions
James Briggs via YouTube Fine-Tuning GPT-3.5 Turbo for Complex Tasks with Minimal System Messages
echohive via YouTube Mastering Fine-Tuning - A Crash Course on Fine-Tuning GPT-3.5 Turbo
Data Science Dojo via YouTube