Python Gradio UI for Fine-tuning LLM (OpenAI GPT) with Custom Data

This video is hands-on-lab to create a python application using Gradio UI to fine-tuning OpenAI LLM model with llamaindex (or gpt-index) library.

Fine-tuning LLM: LLM can be extended, by fine tuning with custom dataset to provide Q&A, summary and many other ChatGPT like functions. In this video, we are using LlamaIndex (GPT Index) which provides a central interface to connect your LLM's with external data.

The full code for the Gradio UI is hosted here:

• https://github.com/prodramp/DeepWorks/blob/main/ChatGPT/FineTuneLLM.md

== Video Timeline == (00:00) Content Intro (00:10) Part 1 Recap (01:14) Gradio UI Design (05:55) Python Coding Start (06:46) Tab 1- OpenAI Config UI (08:15) Tab 2- Fine-tune LLM UI (08:55) Tab 3- Query Prompt UI (12:30) Testing UI (without action) (13:05) Tab 1- Click Action Code (15:15) Tab 2- Click Action Code (23:05) Fine-turning with OpenAI UI (24:50) Fine-turning with OpenAI Run (28:28) Tab 3- Click Action(s) Code (33:05) Query with Index UI (35:30) Full testing with Text Document (36:18) API Billing and Cost (38:30) Code Repo and GitHub (39:04) Summary

Please visit: https://prodramp.com | @prodramp https://www.linkedin.com/company/prodramp

Content Creator: Avkash Chauhan (@avkashchauhan) https://www.linkedin.com/in/avkashchauhan

Tags: #llm #chatgpt #finetunellm #openai #python #ai ... https://www.youtube.com/watch?v=s4cQsNPpgzs