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.
Fine Tuning LLM -OpenAI GPT- with Custom Data in Python
Overview
Syllabus
Content Intro
Gradio UI Demo
Training LLM - Concepts
Fine-tuning LLM - Concepts
Coding Demo
finetune.py Coding
queryindex.py
Results
Summary
Taught by
Prodramp
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