Course Overview

Through discussions, hands-on exercises, and group projects, students gain the skills to harness AI-powered language models for various purposes successfully.

Key Learning Areas

  • Introduction to AI Language Models and Prompt Engineering
  • Understand the prompt
  • Techniques for Crafting Effective Prompts
  • Restricting ChatGPT's Answers to Your Own Document Corpus
  • Generating Synthetic Data and Images
  • Language Translation and Slide Creation
  • Prompt Engineering for Various Applications
  • Iterative Prompt Refinement
  • Group Project: Applying Prompt Engineering to Real-world Scenarios
  • Ethics and Best Practices in Prompt Engineering

Course Outline

Introduction to AI Language Models and Prompt Engineering

  • Overview of AI language models
  • Introduction to Prompt Engineering
  • Importance of Prompt Engineering in AI applications

Understanding the Prompt

  • Types of prompts
  • Components of a prompt
  • Factors affecting prompt effectiveness

Techniques for Crafting Effective Prompts

  • Designing prompts for clarity
  • Leveraging context and examples
  • Balancing brevity and detail

Restricting ChatGPT's Answers to Your Own Document Corpus

  • Setting up a custom document corpus
  • Techniques for guiding AI model focus
  • LLM focus and attention, and GPT3 vs GPT4 differences
  • Ensuring relevant and accurate outputs

Generating Synthetic Data and Images

  • Crafting prompts for CSV data generation
  • Formatting AI outputs for data visualization
  • Prompt engineering for SVG image generation
  • GPT4 SVG images vs DALL-E image generation

Language Translation and Slide Creation

  • Designing prompts for language translation
  • Ensuring translation accuracy and fluency
  • Generating slides using markdown and Prompt Engineering

Prompt Engineering for Various Applications

  • Creative writing and content generation
  • Question-answering and information retrieval
  • Data processing and transformation

Iterative Prompt Refinement

  • Analyzing AI model outputs
  • Techniques for prompt iteration and improvement
  • Incorporating user feedback into prompt design

Group Project: Applying Prompt Engineering to Real-world Scenarios

  • Identify a problem that can be solved using AI language models
  • Design and refine prompts to achieve desired outcomes
  • Present project outcomes and Prompt Engineering process

Ethics and Best Practices in Prompt Engineering

  • Ethical considerations for AI language model usage
  • Ensuring data privacy and security
  • Best practices for Prompt Engineering in professional settings

Who Benefits

This course teaches Prompt Engineering, an essential skill for working with AI language models like OpenAI's GPT series, Google’s Bard, and Microsoft’s Bing Chat. Attendees learn how to create effective prompts, refine prompting techniques, and explore best practices for various applications.

Prerequisites

No prior experience is required