Conversational AI Prompt Engineering

Learning Objectives

• This course teaches effective conversational AI interaction, moving from basic to systematic prompting to maximize AI value.
• Students will master GPT (Generative Pre-trained Transformer) based AI systems for increased productivity, regardless of industry.

Topics in the Course

• Prompt Engineering: Definition and importance.
• Limitations of simple prompting.
• Common prompting mistakes.
• Optimizing prompts for optimal AI results.
• Using Persona patterns for improved results.
• AI model interviews.
• Chain-of-Thought prompting approach.
• Revolutionary Train of Thought technique.
• Advanced techniques, including the Nova System.

Modules

• Module 1: Introduction to Prompt Engineering:
  • Defining Prompt Engineering and its importance.
  • English as a new programming language.
• Module 2: Getting Started with Prompt Engineering:
  • Understanding GPT-like AI tools.
  • Naive prompting approach.
  • Persona pattern.
  • Interview pattern.
• Module 3: The Chain-of-Thought Approach:
  • AI reasoning and problem-solving.
  • Utilizing step-by-step reasoning for complex problems.
• Module 4: Advanced Techniques:
  • Tree-of-Thought Approach.
  • Controlling Verbosity and the Nova System.
• Module 5: Final Project:
  • Course summary.
  • Optional final project.

What is Prompt Engineering?

• Designing and refining instructions to language models (like GPT-3.5).
• Crafting input to elicit desired responses or behaviors.
• Tailoring prompts for accuracy, coherence, and alignment with specific aims.

Types of Prompting

• Zero-Shot: Task given without examples.
• One-Shot: Model given a single example.
• Few-Shot: Model given multiple examples.

Additional Information

• AI models, like GPT-3.5, have limitations in accuracy and reasoning capabilities.
• Data used to train AI models may be flawed, causing occasional errors or biases.
• Prompt engineering helps to mitigate these limitations by guiding the AI to provide more accurate and relevant results.
• There are numerous approaches to prompting, including simple methods, personas, chains of thought, and advanced methods like the "Tree of Thoughts" technique.
• Control the verbosity of the AI's responses to ensure sufficient detail for the desired output.

This quiz assesses your understanding of conversational AI and prompt engineering techniques. Explore topics such as the importance of prompt engineering, common mistakes, and advanced prompting techniques like the Nova System. Enhance your skills to optimize AI interactions effectively.