Python Gradio UI for Fine-Tuning LLM - OpenAI GPT with Custom Data

Learn how to create a Python application using Gradio UI for fine-tuning OpenAI's GPT model with custom data using the LlamaIndex library. Explore the process of extending Large Language Models (LLMs) through fine-tuning with custom datasets to enable Q&A, summarization, and other ChatGPT-like functions. Follow along as the video guides you through designing the Gradio UI, implementing the OpenAI configuration, fine-tuning the LLM, and creating a query prompt interface. Gain hands-on experience in testing the UI, writing action code for each tab, and running the fine-tuning process with OpenAI. Discover how to query the index, perform full testing with text documents, and understand API billing and costs. Access the complete code on GitHub and gain valuable insights into leveraging LLMs for custom applications.