Главная
Study mode:
on
1
Content Intro
2
Gradio UI Demo
3
Training LLM - Concepts
4
Fine-tuning LLM - Concepts
5
Coding Demo
6
finetune.py Coding
7
queryindex.py
8
Results
9
Summary
Description:
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

Prodramp
Add to list