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Course Outline

Introduction to Virtual Assistants

  • Survey of virtual assistant technologies and applications
  • Introduction to conversational AI and its importance

ChatGPT Fundamentals

  • Comprehending ChatGPT and its core architecture
  • Exploring various versions and configurations of ChatGPT

Constructing Conversational Workflows

  • Designing conversational pathways for virtual assistants
  • Implementing mechanisms for user input handling and system responses

Natural Language Understanding (NLU) with ChatGPT

  • Using NLU techniques to extract intent and entities
  • Training ChatGPT for intent recognition and entity extraction

Personalization and User Context

  • Upgrading virtual assistants with personalized responses
  • Managing user context and sustaining conversational continuity

Fine-tuning ChatGPT Models

  • Methods for fine-tuning ChatGPT models for virtual assistant tasks
  • Utilizing domain-specific data to improve performance

Best Practices and Optimization

  • Optimizing virtual assistants for efficiency and scalability
  • Addressing common challenges and mitigating biases in virtual assistants

Ethics and Responsible AI

  • Ensuring ethical and responsible use of ChatGPT in virtual assistants
  • Tackling privacy concerns and data protection in virtual assistant applications

Real-world Use Cases

  • Reviewing successful virtual assistant implementations
  • Case studies and examples from various industries

Summary and Next Steps

  • Recap of key concepts and takeaways from the course
  • Resources and recommendations for further learning and exploration

Requirements

  • Fundamental computer proficiency
  • Knowledge of virtual assistant concepts and underlying technologies

Target Audience

  • Virtual assistant developers
  • Chatbot developers
  • AI enthusiasts
 14 Hours

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