Description
In this course, you will learn:
- Define prompt engineering and follow basic best practices when dealing with FMs.
- Identify the basic prompt strategies, such as zero-shot and few-shot learning.
- Use advanced prompt mechanisms as needed for your use case.
- Determine which prompt-techniques are most appropriate for given models.
- Determine probable prompt misuses.
- Analyze potential bias in FM replies and create prompts to mitigate that prejudice.
Syllabus:
1. Introduction
- Introduction
- Basics of Foundation Models
- Fundamentals of Prompt Engineering
2. Prompt Types and Techniques
- Basic Prompt Techniques
- Advanced Prompt Techniques
- Model-Specific Prompt Techniques
- Addressing Prompt Misuses
- Mitigating Bias