How would you troubleshoot lack of coherence in generated dialogue when using a language model

Question

Can you tell me How would you troubleshoot lack of coherence in generated dialogue when using a language model?

Answer 1

Lack of coherence in generated dialogue can be addressed by fine-tuning on high-quality conversational data, using a sliding context window, applying nucleus sampling, and ensuring proper prompt engineering.

Here is the code snippet you can refer to:

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

• Maintains conversation history to provide consistent context.
• Uses a sliding context window to prevent coherence loss over long dialogues.
• Applies top-p (nucleus) sampling and temperature control for balanced and fluid responses.

Hence, by managing context history, tuning decoding strategies, and structuring prompts effectively, we enhance the coherence and flow of model-generated dialogue.