How do you measure and maintain semantic consistency in generated text for coherent narratives

Question

With the help of Python programming, can you measure and maintain semantic consistency in generated text for coherent narratives?

Answer 1

In order to measure and maintain semantic consistency in generated text, you can follow the strategies below:

• Use Similarity Metrics: You can compare embeddings of successive sentences or paragraphs using cosine similarity to ensure coherence.
• Reinforcement Learning: You can also fine-tune your model with reinforcement learning using rewards for consistency.
• Prompt Engineering: You can provide structured prompts emphasizing coherence.

Here is the code snippet showing how it is done:

In the above code, If similarity scores drop below a threshold, flag or regenerate the content to maintain coherence.

Hence, using these strategies, you can measure and maintain semantic consistency in generated text.