How would you address language ambiguity in generated text using a language model for content generation

Question

Can you tell me How would you address language ambiguity in generated text using a language model for content generation?

Answer 1

 Language ambiguity in generated text can be addressed by using clear and specific prompts, fine-tuning on well-structured datasets, applying beam search or top-p sampling, and adding context through pre-conditioning.

Here is the code snippet you can refer to:

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

• Uses a clear and specific prompt to guide the model toward focused and accurate responses.
• Applies beam search to improve coherence and avoid ambiguous completions.
• Controls temperature to balance creativity and precision in text generation.

Hence, by refining the prompt, using structured decoding methods, and tuning model parameters, we reduce ambiguity and enhance the clarity of generated text.