Prompt Engineering for ChatGPT

• An understanding of basic AI concepts
• Experience with any programming language
• Familiarity with ChatGPT or similar AI language models

Audience

• Software developers
• AI researchers
• Product managers

Prompt Engineering is the process of designing inputs that guide AI models to produce specific types of outputs.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level software developers and AI researchers who wish to craft effective prompts to elicit desired responses from ChatGPT.

By the end of this training, participants will be able to:

• Understand the principles of prompt engineering for AI models like ChatGPT.
• Design prompts that effectively guide AI to produce desired outcomes.
• Apply ethical considerations in crafting prompts.
• Anticipate and adapt to the evolving landscape of AI interactions.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Prompt Engineering

• What is prompt engineering?
• The importance of effective prompts
• The role of prompts in AI communication

The Basics of ChatGPT

• Understanding ChatGPT's capabilities
• Limitations and considerations
• Best practices for interacting with ChatGPT

Designing Effective Prompts

• Components of a good prompt
• Techniques for prompt refinement
• Crafting prompts for specific outcomes

Practical Exercises

• Crafting prompts for different scenarios
• Analyzing responses and iterating
• Role-playing with ChatGPT

Advanced Prompt Engineering

• Contextual and recursive prompts
• Domain-specific prompt design
• Managing ambiguity in prompts

Best Practices in Prompt Engineering

• Establishing clear objectives
• Balancing detail and flexibility
• Continuous learning and adaptation

Ethical Considerations

• Bias and fairness in AI
• Ethical prompt design
• The impact of prompts on AI behavior

Project Work

• Developing a prompt strategy
• Real-world application and testing
• Presenting and reviewing prompt strategies

Summary and Next Steps