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When instructing a Large Language Model to simplify a text, specific constraints can be added to the prompt to control the output. A common example is imposing a length limit on the simplified text to ensure conciseness.

Constrained Prompting for Text Simplification

You are tasked with creating a set of instructions (a prompt) for a language model to perform the task described in the case study. The original text to be simplified is: 'Anthropogenic emissions of greenhouse gases have unequivocally led to the warming of the climate system, with the last decade being the warmest on record, precipitating unprecedented and widespread changes in extreme weather events globally.' Write a complete prompt that instructs a language model to simplify this text, including at least two distinct constraints to ensure the output is suitable for the intended purpose.

Crafting a Prompt for Public Outreach

You are given the following complex sentence: 'The process of cellular respiration involves a series of metabolic reactions and processes that take place in the cells of organisms to convert chemical energy from oxygen molecules or nutrients into adenosine triphosphate (ATP), and then release waste products.' Your task is to write a single, effective prompt for a large language model to simplify this sentence. Your prompt must include at least two distinct constraints: one related to the target audience and one related to the format of the output.

Designing a Constrained Prompt for Simplification

A user provides a language model with the following original text and a specific set of instructions (a prompt).

**Original Text:** "The epistemological framework of post-structuralism challenges the foundational assumptions of Western metaphysics, positing that language is an unstable, self-referential system wherein meaning is perpetually deferred rather than being fixed or directly accessible."

**Prompt:** "Simplify the text above for a general audience with no background in philosophy. The

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