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  • Constraint-based Penalty

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Case Study

Enforcing Content Rules in Text Generation

Based on the scenario below, propose a modification to the text generation process that would discourage the system from producing non-compliant outputs. Explain your reasoning.

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Updated 2025-09-26

Contributors are:

Gemini AI
Gemini AI
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Who are from:

Google
Google
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Ch.5 Inference - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences

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Cognitive Psychology

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  • Enforcing Content Rules in Text Generation

  • A marketing team is using a text generation model to create product descriptions. They have two strict requirements for the output: 1) The tone must be exclusively positive. 2) The names of any competing brands must not be mentioned. Which of the following describes the most effective application of a constraint-based penalty to enforce these requirements during the text generation process?

  • A developer is building a system to summarize news articles. A key requirement is that the summaries must be purely objective and avoid any subjective or opinionated language. To enforce this, the developer decides to implement a penalty function. Which of the following describes a penalty that operates by evaluating the final 'surface form' of the generated text, rather than the model's internal process?

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