Answer: stop-sequences

## Explanation **Stop-sequences** is the correct parameter to use when you want to end text generation at a specific phrase or sequence of tokens. ### Why stop-sequences is correct: 1. **Purpose**: Stop-sequences are specifically designed to halt text generation when the model encounters certain predefined sequences of tokens. 2. **Use case**: In this scenario, when the chatbot says "Thank you for contacting us," you want the generation to stop immediately rather than continuing with additional text. 3. **Implementation**: By setting "Thank you for contacting us" as a stop sequence, the model will stop generating text as soon as it produces that exact phrase. ### Why other options are incorrect: - **B. temperature**: Controls the randomness/creativity of the output (higher = more random, lower = more deterministic). Doesn't control stopping. - **C. top-p**: Controls nucleus sampling by limiting token selection to a cumulative probability threshold. Affects output quality but not stopping. - **D. max-tokens**: Limits the total number of tokens generated, but doesn't stop at a specific phrase. ### Practical application: In banking chatbots, using stop-sequences ensures professional, concise responses and prevents the model from generating unnecessary or potentially problematic text after the closing statement.

Author: Jin H