How to Fine-Tune ChatGPT | Full Implementation Tutorial (Beginner to Advanced)

Hey Everyone,
Welcome back to SummarizedAI! 👋

In our previous video, we discussed Prompt Engineering and Fine-Tuning — what they mean and how they work in theory.

🎯 In this video, we’ll move from theory to practice as we demonstrate a complete fine-tuning implementation for one of the OpenAI ChatGPT models — step by step!

You’ll learn:
✅ What fine-tuning really means and why companies use it
✅ How to prepare your data (from PDFs, Excel, or text)
✅ How to format your dataset into a .jsonl file
✅ How to upload your data to OpenAI and train a fine-tuned model
✅ How to list, read, and delete fine-tuning jobs programmatically using Python
✅ How to test your fine-tuned ChatGPT model for custom responses

By the end of this tutorial, you’ll understand exactly how to train your own version of ChatGPT using your organization’s data or any domain-specific knowledge.

📂 Tools Used:

OpenAI API

Visual Studio Code

Python

💡 If you find this video helpful and want to see more content around AI, ChatGPT, RAG, and Fine-Tuning,
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📺 Watch till the end to see the complete implementation and results in action!

#ChatGPT #FineTuning #OpenAI #ArtificialIntelligence #MachineLearning #AIProjects #SummarizedAI #llm

Видео How to Fine-Tune ChatGPT | Full Implementation Tutorial (Beginner to Advanced) канала SummarizedAI