Introduction
In this course, you will learn the principles, techniques, and the best practices for designing effective prompts. This course introduces the basics of prompt engineering, and progresses to advanced prompt techniques. You will also learn how to guard against prompt misuse and how to mitigate bias when interacting with FMs.
Course objectives
In this course, you will learn to:
- Define prompt engineering and apply general best practices when interacting with FMs
- Identify the basic types of prompt techniques, including zero-shot and few-shot learning
- Apply advanced prompt techniques when necessary for your use case
- Identify which prompt-techniques are best-suited for specific models
- Identify potential prompt misuses
- Analyze potential bias in FM responses and design prompts that mitigate that bias
Course outline
Introduction
- Introduction
- Basics of Foundation Models
- Fundamentals of Prompt Engineering
Prompt Types and Techniques
- Basic Prompt Techniques
- Advanced Prompt Techniques
- Model-Specific Prompt Techniques
- Addressing Prompt Misuses
- Mitigating Bias
Conclusion
- Course Summary
Lessons
- Lesson 1: Basics of Large Language Models
- Lesson 2: Fundamentals of Prompt Engineering
- Lesson 3: Basic Prompt Techniques
- Lesson 4: Advanced Prompt Techniques
- Lesson 5: Model-specific Prompt Techniques
- Lesson 6: Addressing Prompt Misuses
- Lesson 7: Mitigating Bias
Note: Please sign first to view the course(in case of mobile) else use desktop.
