Prompt Engineering: Unlocking Value with AI

Introduction

• High Leverage Skill: Learning prompt engineering in 2023 is highly lucrative.
• Value Creation: Capable of creating millions of dollars worth of value with well-crafted sentences.
• No Coding Needed: This guide is for anyone, no coding experience required.

What is Prompt Engineering?

• Definition: Prompting is instructing an AI to perform tasks using text prompts.
• Prompts' Complexity: Vary from simple phrases to multiple paragraphs.
• Use Case: Examples, like ChatGPT, where the provided text is the prompt.
• Importance: "Garbage in, Garbage out" - quality input leads to quality output.

Examples and Importance

• Basic Example: Fixing a math error in OpenAI's playground by refining the prompt.
• Complex Tasks: Slight prompt variations drastically affect complex tasks outcomes.

Tools for Prompting

• OpenAI Playground: A flexible platform to interact with OpenAI's suite of products.
• ChatGPT vs Playground: Playground uses base models in their natural state as accessible via APIs.
• Settings in Playground: Adjust model, temperature, max length, frequency penalty, and presence penalty.

Methods of Prompting

Role Prompting

• Definition: Setting the AI into a certain role to provide better context.
• Examples: Turning the AI into a mathematician or a friendly assistant.

Shot Prompting

• Categories: Zero-shot, One-shot, Few-shot.
• Zero-Shot Prompting: Simple questions with no predefined structure.
• One-Shot Prompting: Provides one example interaction to guide the format of the response.
• Few-Shot Prompting: Multiple examples to refine tone, length, and structure.

Chain of Thought Prompting

• Definition: AI explains its reasoning step-by-step for better accuracy.
• Examples: Improved performance in arithmetic and logic tasks.
• Zero-Shot Chain of Thought: Adding “Let’s think step by step” to prompt for improved results.

Opportunities in Prompt Engineering

Selling Services

• Demand: Growing for skilled prompt engineers worldwide.
• Action: Learn the skill, find gigs.

Teaching Businesses

• Corporate Training: Helping companies use AI tools to increase productivity.

Building Businesses

• Single Prompt Business: Creating tools based on a well-crafted prompt.
• Example: Dr. Alan D. Thompson’s Lita AI.
• Practical Tool: Ed Sheeran song generator example.

Conclusion

• Call to Action: Learn and practice prompt engineering.
• Monetize Skills: Through services, training, or business development.
• Community Engagement: Encouragement to subscribe, like, and comment for more insights and support.
• Upcoming Content: Teaser for next video on taking a prompt-based tool to market.