During content creation tasks your generator overemphasizes frequent themes How do you diversify the output

Question

With the help of proper code example can you tell me During content creation tasks, your generator overemphasizes frequent themes. How do you diversify the output?

Answer 1

Enhance diversity by using nucleus sampling, controllable prompts, temperature scaling, penalty-based repetition reduction, and reinforcement learning with novelty rewards.

Here is the code snippet you can refer to:

In the above code we are using the following key approaches:

• Nucleus Sampling (Top-p Sampling):
  • Limits choices to a dynamic probability mass, preventing overuse of dominant themes.
• Temperature Scaling:
  • Increases randomness in token selection, reducing theme repetition.
• Repetition Penalty:
  • Lowers probability of repeated words and phrases, forcing varied output.
• Prompt Control for Diversity:
  • Uses explicit control tokens (e.g., genre, style) to introduce variation.
• Reinforcement Learning with Novelty Reward (Optional Enhancement):
  • Fine-tunes the model to reward uniqueness in generated content.

Hence, by integrating nucleus sampling, temperature adjustments, repetition penalties, and controlled prompts, content generators can produce more diverse, engaging, and less predictable outputs.