Welcome to the course on Chat GPT! In this module, we will explore the fundamentals of Chat GPT, an advanced language model developed by OpenAI. Chat GPT is designed to generate human-like responses in conversational settings, making it a powerful tool for building chatbots, virtual assistants, and other interactive applications. Throughout this module, we will discuss the key concepts, techniques, and best practices for utilizing Chat GPT effectively.
Module Objectives: By the end of this module, you will be able to:
Understand the architecture and functioning of Chat GPT.
Implement Chat GPT in various applications.
Fine-tune and customize Chat GPT for specific use cases.
Apply best practices for training, deployment, and evaluation of Chat GPT models.
Total: 33 lectures
What is Chat GPT?
Applications of Chat GPT
Benefits and limitations of Chat GPT
Pre-training and fine-tuning
Formatting conversational data
Data cleaning and preprocessing
Handling context and history
Dataset selection and collection
Pre-training on large-scale data
Fine-tuning for specific tasks
Transfer learning and domain adaptation
Integration with chatbot frameworks
Real-time and batch processing
Scalability and performance considerations
Controlling response style and tone
Conditional generation and prompts
Incorporating user feedback and reinforcement learning
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