Answer: Negative Prompting

**Explanation:** Negative prompting is a technique where users specify what they **do not want** to appear in the generated output. In this scenario: 1. **Primary request**: Create a "Thanksgiving dinner scene" 2. **Negative specification**: "Do not include any people or brand logos in the image" This is a classic example of negative prompting because: - The user provides explicit constraints about what should be excluded - It guides the AI model to avoid specific elements - It helps refine the output by eliminating unwanted content **Comparison with other options:** - **A) Few-shot Prompting**: Involves providing examples (shots) to guide the model, not specifying what to exclude - **C) Reinforcement Learning**: A training method where models learn through rewards/penalties, not a prompting technique - **D) Contextual Embedding**: Refers to how words/sentences are represented in context, not a user-facing prompting method Negative prompting is particularly useful in generative AI to control output quality and avoid unwanted elements in generated content.

Author: Ritesh Yadav