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