How do you resolve repetitive token generation in language models for creative writing

Question

With the help of proper code can you tell me How do you resolve repetitive token generation in language models for creative writing?

Answer 1

Use techniques like top-k sampling, top-p (nucleus) sampling, and temperature control to reduce repetitive token generation in language models for creative writing.

Here is the code snippet you can refer to:

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

• Uses temperature control (0.8) to balance creativity and coherence.
• Applies top-k sampling (50) to limit high-probability token choices.
• Uses top-p sampling (0.9) for more dynamic token selection.
• Adds repetition penalty (1.2) to discourage repetitive outputs.

Hence, these techniques together foster diverse, creative, and less repetitive text generation.