You will learn how to fine-tune ChatGPT on your own dataset, and how to use it to generate human-like responses in a conversational setting. By the end of the course, you will have a solid understanding of how ChatGPT works and be able to apply it to your own projects.
Course Outline:
Module 1: Introduction to ChatGPT
- Overview of ChatGPT and its capabilities
- Understanding the architecture of the model
- Pre-training data and fine-tuning
Module 2: Fine-tuning ChatGPT on your own dataset
- Preparing your dataset for fine-tuning
- Fine-tuning the model on your dataset
- Evaluating the performance of the fine-tuned model
Module 3: Building a conversational AI using ChatGPT
- Understanding the conversational context
- Using ChatGPT to generate responses
- Incorporating context and memory into the model
- Handling out-of-vocabulary words and unknown inputs
Module 4: Advanced Topics
- Incorporating other AI models with ChatGPT
- Handling multi-turn conversations
- Using ChatGPT for language generation tasks
- Deploying a conversational AI using ChatGPT
Each module will consist of a combination of video lectures, hands-on coding exercises, and quizzes to test your understanding of the material. The course will also include a final project, where you will have the opportunity to apply what you've learned to build a conversational AI of your own.
Prerequisites:
- Basic understanding of machine learning concepts
- Familiarity with Python and PyTorch
- Access to a computer with internet connection
Duration: 4 weeks, 6-8 hours per week
Audience:
- Data scientists and engineers interested in building conversational AI
- Developers looking to add conversational capabilities to their applications
- Anyone interested in learning more about the ChatGPT language model