We're excited to be creating more content for you! Additional modules are being added regularly.
Now that you've gotten your feet wet with basic prompt engineering in Module 1.1, it's time to dive deeper into the core concepts that will make you a more effective prompt engineer. Think of what we've learned so far as learning to drive a car - you know how to operate the vehicle, but now we're going to look under the hood to understand how it works.
In this module, you'll discover:
Understanding these fundamentals will help you:
This module is broken down into three main sections, each one building upon the last. We'll begin by introducing AI at its broadest sense, showcasing how generative AI fits into the picture. Using this information, we'll focus on the different types of AI models, showcasing what they can do, what they cannot do, and highlighting considerations for using each one. Then, we'll start getting a bit more technical. Beginning with core terminology, like tokens, context windows, and memory, we'll provide a dictionary of concepts to help optimize your prompt engineering experience.
For best results, we recommend that you embrace the same strategies that you used with the previous module:
Before we dive into the technical concepts, let's do a quick reflection:
Quick Think: In your previous interactions with AI models, what aspects of their behavior seemed mysterious or unpredictable to you? Keep these questions in mind as we explore the underlying concepts - you might find your answers along the way!
Ready to begin? Let's start by understanding the fundamentals of language models and how they shape our interaction with AI systems.
