How can top-p nucleus sampling be leveraged to enhance creativity in text generation outputs

Question

With the help of Python programming, can you explain how we can top-p(nucleus)sampling can be leveraged to enhance creativity in text generation outputs?

Answer 1

Top-p (nucleus) sampling enhances creativity by selecting words from the smallest set of tokens whose cumulative probability exceeds a threshold. This allows the model to consider diverse and less likely options while maintaining coherence.

Here is the code reference below:

In the code above, we encourage more creative and varied outputs and avoid overly deterministic results from high-probability tokens only.