Learn Before
Constrained Prompting for Text Simplification
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.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Constrained Prompting for Text Simplification
Refining a Complex Instruction
A developer has created a long and convoluted prompt for a text-to-image model, which is yielding inconsistent and low-quality results. They suspect the complexity of the prompt is the issue. Based on the principle of using a language model for simplification, which of the following actions represents the most effective and direct first step to address this problem?
Principle of Automated Prompt Refinement
Learn After
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 final output must be a single sentence and under 20 words."
Which of the following outputs best demonstrates that the model successfully adhered to all the constraints in the prompt?
Crafting a Prompt for Public Outreach
Designing a Constrained Prompt for Simplification