Answer: Increase Top-P to 0.95

## Explanation **Correct Answer: A (Increase Top-P to 0.95)** **Why this is correct:** 1. **Top-P (Nucleus Sampling)** controls the diversity of word choices by limiting the vocabulary to the top cumulative probability mass. 2. **Increasing Top-P to 0.95** means the model will consider a larger pool of words (95% of the probability distribution), allowing for more diverse and creative word choices. 3. This is ideal for creative writing where variety in vocabulary and style is desired. **Why other options are incorrect:** - **B (Decrease temperature to 0.2)**: Lower temperature makes the model more deterministic and less creative. It would make word choices more predictable and less diverse. - **C (Reduce max-tokens to 100)**: This limits the output length, not the diversity of word choices. It might truncate responses but doesn't increase vocabulary variety. - **D (Add stop-sequence after each sentence)**: This controls when generation stops, not the diversity of word choices within sentences. **Key Concepts:** - **Top-P (Nucleus Sampling)**: Higher values = more diverse vocabulary - **Temperature**: Lower values = more deterministic, higher values = more random/creative - **Max-tokens**: Controls output length - **Stop-sequences**: Control generation termination points For creative writing workshops focused on style variety, increasing Top-P is the most effective adjustment to encourage diverse word choices.

Author: Ritesh Yadav