3 Prompt Engineering
This chapter covers
- Writing effective prompts using context, main point, and action
- Techniques for guiding model behavior, including roles and examples
- Working through conversations to refine and develop complex tasks
- Recognizing the risks and limitations of language models
Imagine purchasing one of the fastest and most advanced sports cars in the world. It has a powerful engine and exceptional performance. On paper, it can outperform almost every other vehicle on the road. However, if you do not know how to drive it, none of those capabilities matter. The car remains parked in your driveway. In that situation, you might prefer to walk.
Language models are remarkably similar. Modern language models are capable of writing reports, generating code, analyzing documents, summarizing information, translating languages, brainstorming ideas, and answering complex questions. Without a doubt they are the most powerful creative tool most people have access to.. Yet possessing a powerful model is not enough. You can subscribe to the most expensive AI service available and gain access to the latest state-of-the-art model. But if you do not know how to interact with the model, provide the right context, or clearly explain the task you want performed, much of the model's potential will remain untapped. In some cases, using the AI may even feel slower or less effective than doing the work yourself.