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Certificate of Completion

Mode of Exam : Online
Duration : 1 Hour
Multiple Choice Questions are asked
No. of Questions are asked : 50
Passing Marks : 25 (50%)
There is no negative marking

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

Transformer architecture
Self-attention mechanism
Encoder-decoder structure
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

Metrics for evaluating chatbot performance
Handling biases and ethical concerns
Iterative improvement through user feedback

Multi-turn conversations and context management
Multi-modal chat interfaces
Multilingual and cross-lingual chat systems

Designing user-friendly interactions
Handling common challenges and edge cases
Monitoring and maintaining Chat GPT models

Recent advancements in conversational AI
Open challenges and research directions
Practical applications and opportunities

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Chat GPT