Welcome to the next lecture in the course. In this lecture, I will walk you through some basic tips for designing effective prompts. First, we will cover the basic tasks that Jack GPT can do for us. Then, we will discuss drafting prompts and important considerations such as context and audience. I will provide you with some useful tips that I found in a research paper on prompt engineering. These tips, although slightly technical, will help you make the most out of using large language models.
When designing prompts, it is important to start simple and iterate. One prompt will not do the job, so you need to try out different wordings and combinations to find what works best for you. Versioning your prompt along the way is vital for better results.
Let me illustrate this with an example. If you are writing a book, you cannot ask a language model to write the entire book for you. Instead, break the project into smaller tasks. For example, start by asking the model to provide a list of chapter names. Then, refine the chapters and ask for subtopics within each chapter. By dividing the project into smaller tasks and converting each task into a prompt, you can effectively work with the language model to generate the content you need.
In summary, when designing prompts, remember to start simple, iterate, and break your project into smaller tasks. By following these tips and strategies, you can make the most out of using large language models for your writing projects.
