Fine-grained control in Generative AI empowers users to guide outputs according to their preferences, enhancing trust by ensuring the generated content aligns with their expectations.
Here is the code snippet you can refer to:

In the above code, we are using the following key points:
- Prompt Engineering: Provides specific guidance for the desired output.
- Temperature Control: Adjusts randomness in word choices (temperature=0.7 for balanced creativity).
- Top-p Sampling: Focuses generation on high-probability tokens to maintain relevance.
Hence, fine-grained control fosters user trust by allowing customization and precision in AI-generated outputs, ensuring alignment with user intent.