Welcome to the Fine-Tuning GPT-3.5-turbo repository! This project provides code and guidelines for fine-tuning the powerful GPT-3.5-turbo language model developed by OpenAI. Fine-tuning allows you to adapt the model to specific tasks and domains, enabling it to generate high-quality text for a wide range of applications.
- Fine-Tuning Script: Our repository includes a comprehensive script to facilitate the fine-tuning process of the GPT-3.5 model. This script is designed to be user-friendly, enabling you to quickly set up and customize your fine-tuning experiments.
- Configuration Options: Customize various aspects of the fine-tuning process, such as training batch size, learning rate, and the number of training epochs. Tweak these parameters to achieve optimal results for your specific task.
- Usage Examples: Explore practical examples that demonstrate how to fine-tune GPT-3.5 for different applications, such as text generation, summarization, and more. These examples serve as a great starting point for your own projects.