Welcome to the next lesson in our course on Prompt Engineering for Precise Text Modification. This lesson focuses on a critical skill in text manipulation using Large Language Models (LLMs). Extending or elaborating on a given text without altering specific predefined elements is particularly valuable when you need to preserve the essence of the original text — be it its setting, main characters, mood, or any other element — while adding more content to it.
The main challenge in extending a text without changing certain aspects lies in maintaining a delicate balance. You must enrich the narrative, explanatory text, or any other written content while ensuring that the additions feel seamless and natural and do not stray from the original constraints. Achieving this requires a deep understanding of both the content you are working with and the constraints to which you need to adhere.
Consider the task of extending a short story where the mood, setting, and characters are fixed. Here, your creativity must operate within these boundaries, expanding the story in a way that remains consistent and coherent with the initial setup.
To illustrate, let's look at an example prompt that's beautifully formatted using the Markdown Prompt Framework (MPF):
