Course Outline
Module 1: Introduction to GPT-3 and Its Capabilities
- Overview of GPT-3 and its advanced language processing capabilities
- Comparison of GPT-3 with other leading language models
- Understanding the input and output formats for GPT-3
Module 2: Building a Basic Chatbot Using GPT-3
- Setting up the development environment for government applications
- Connecting to the GPT-3 API for secure and reliable integration
- Implementing a basic chatbot using GPT-3 for efficient communication
- Testing and debugging the chatbot to ensure optimal performance
Module 3: Advanced Features of GPT-3
- Fine-tuning GPT-3 for specific tasks relevant to government operations
- Utilizing GPT-3 to generate responses with specific attributes, such as sentiment and tone
- Incorporating context into GPT-3's responses to enhance accuracy and relevance
Module 4: Training GPT-3 on Custom Datasets
- Understanding the format and structure of training data for government use
- Preparing and cleaning custom datasets to ensure quality and security
- Fine-tuning GPT-3 on custom datasets to improve performance in specific domains
- Evaluating the performance of GPT-3 on custom datasets for government applications
Module 5: Deploying and Maintaining a GPT-3 Chatbot
- Best practices for deploying a GPT-3 chatbot in government settings
- Monitoring and troubleshooting a GPT-3 chatbot to ensure continuous operation
- Updating and maintaining a GPT-3 chatbot to meet evolving needs for government
Module 6: Case Studies and Real-World Examples
- Examples of chatbots built using GPT-3 in various government contexts
- Discussion of the challenges and considerations in building chatbots with GPT-3 for government use
- Opportunities and future directions for GPT-3 chatbots in public sector operations
Module 7: Project Work
- Applying the knowledge gained in previous modules to develop a final project for government
- Guided by the instructor for the development of the final project
- Presentation of the final project to demonstrate practical application
The course may 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 fundamental programming concepts, including variables, loops, and functions.
- Proficiency in at least one programming language, such as Python or JavaScript.
- Basic understanding of natural language processing (NLP) principles.
- Elementary knowledge of machine learning techniques.
- Familiarity with APIs and web development concepts.
- A laptop equipped with internet access.
- Basic experience with chatbot development or conversational agents is beneficial but not required.
Testimonials (5)
scope of the material
Marcin Mlodawski - Instytut Energetyki- Panstwowy Instytut Badawczy
Course - ChatGPT for Data Science and Analytics
Prompt Engineering
Pritpal Singh Bath - The Events Club SG Pte. Ltd.
Course - ChatGPT for Marketing
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
Diana
Course - ChatGPT for Finance
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
I like the way Sonia interact with audience, she made the webinar alive not boring like others webinar. I also got surprised by the ChatGPT and really impress.
