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An illustrative example of long text generation is the task of creating a lengthy story based on a few keywords. In this case, the model takes a concise input (the keywords) and produces an extensive, coherent narrative as the output.

Example of Long Text Generation: Story Generation

A developer is testing a new text generation model's ability to create extensive, coherent narratives from minimal starting points. Which of the following test cases best demonstrates this specific capability?

A user provides the keywords 'haunted mansion, brave detective, hidden treasure' to a text generation model. The model produces a single sentence: 'A brave detective found treasure in a haunted mansion.' Analyze why this output, while factually incorporating the keywords, fails to demonstrate the key capability expected from a model designed for generating a lengthy, coherent narrative from a concise input.

Evaluating Story Generation Output

Based on the model's capabilities described in the case study, propose a concise input (prompt) that would be effective for generating the desired backstory. Justify why your proposed prompt is well-suited for this task.

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