Model Type | |
Use Cases |
Areas: | creative writing, content generation |
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Applications: | storytelling, content creation for blogs or websites, creative writing assistance |
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Primary Use Cases: | Generating interesting and imaginative fictional stories, Assisting writers with ideas and narrative development |
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Limitations: | Content quality and coherence may vary, Potential for biased outputs, Variable output length, Depends on quality of fine-tuning dataset |
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Training Details |
Data Sources: | https://github.com/facebookresearch/fairseq/tree/main/examples/stories |
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Methodology: | Fine-tuning EleutherAI's GPT-Neo model for fiction story generation |
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Responsible Ai Considerations |
Fairness: | Be aware of potential biases in the model's output and take steps to mitigate them. |
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Mitigation Strategies: | Implement content moderation, bias, and fairness evaluations. |
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Input Output |
Input Format: | |
Accepted Modalities: | |
Output Format: | |
Performance Tips: | Experiment with different values for generation parameters like max_length, temperature, and repetition_penalty. |
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