How do you handle the generation of inappropriate or biased outputs during inference in generative models like GPT

Question

Can you show with the help of python programming on how to handle generation of inappropriate or biased outputs during inference in generative models like GPT?

Answer 1

In order to handle generation of inappropriate or biased outputs during inference in generative models like GPT refer the following:

In the above code we have used Inappropriate Keywords to check generated text for specific inappropriate terms and Output Filtering to return a fallback message if undesirable content is detected.

Related Post: How to maintain coherent and contextually relevant outputs during long-form text generation