Fine Tuning LLM -OpenAI GPT- with Custom Data in Python

Learn how to fine-tune Large Language Models (LLMs) like OpenAI's GPT with custom datasets using Python in this 30-minute tutorial. Explore the process of extending LLMs for Q&A, summarization, and other ChatGPT-like functions using LlamaIndex (GPT Index). Watch a Gradio UI demo, understand training and fine-tuning concepts, and follow along with a coding demonstration. Discover how to implement finetune.py and queryindex.py, and review the results. Access the full code on GitHub and gain insights from industry expert Avkash Chauhan.

Content Intro
Gradio UI Demo
Training LLM - Concepts
Fine-tuning LLM - Concepts
Coding Demo
finetune.py Coding
queryindex.py
Results
Summary