Course Outline

Module 1: Introduction to GPT-3 and its capabilities

  • Overview of GPT-3 and its language processing capabilities
  • Comparison of GPT-3 with other language models
  • Understanding the input and output format of GPT-3

Module 2: Building a basic chatbot using GPT-3

  • Setting up the development environment
  • Connecting to the GPT-3 API
  • Implementing a basic chatbot using GPT-3
  • Testing and debugging the chatbot

Module 3: Advanced features of GPT-3

  • Fine-tuning GPT-3 for specific tasks
  • Using GPT-3 to generate responses with specific attributes (e.g. sentiment, tone)
  • Incorporating context into GPT-3's responses

Module 4: Training GPT-3 on custom datasets

  • Understanding the format and structure of training data
  • Preparing and cleaning custom datasets
  • Fine-tuning GPT-3 on custom datasets to improve performance
  • Evaluating the performance of GPT-3 on custom datasets

Module 5: Deploying and maintaining a GPT-3 chatbot

  • Best practices for deploying a GPT-3 chatbot
  • Monitoring and troubleshooting a GPT-3 chatbot
  • Updating and maintaining a GPT-3 chatbot

Module 6: Case studies and real-world examples

  • Examples of chatbots built using GPT-3
  • Discussion of the challenges and considerations in building chatbots with GPT-3
  • Opportunities and future directions for GPT-3 chatbots

Module 7: Project work

  • Applying the knowledge learned in the previous modules to develop a final project
  • Guided by the instructor for the final project
  • Presentation of the final project

The course could also include additional features such as hands-on coding exercises, quizzes, and opportunities for students to work on their own projects and receive feedback from the instructor.

Requirements

  • Familiarity with basic programming concepts such as variables, loops, and functions
  • Familiarity with at least one programming language, such as Python or JavaScript
  • Basic understanding of natural language processing (NLP) concepts
  • Basic understanding of machine learning concepts
  • Familiarity with API's and web development concepts
  • A laptop with internet access
  • Basic knowledge of chatbot development or conversational agents is a plus but not a must.
  35 Hours
 

Related Courses

Related Categories