AWS Certified AI Practitioner Practice Exam

What adjustment should a company make to ensure consistent responses from a large language model for sentiment analysis?

1. Decrease the temperature value

2. Increase the temperature value

3. Decrease the length of output tokens

4. Increase the maximum generation length

The correct answer is: Decrease the temperature value

To ensure consistent responses from a large language model, adjusting the temperature value is key. The temperature is a parameter that controls the randomness of the output generated by the model. A lower temperature value, such as in the case of decreasing the temperature, leads to more deterministic and less varied responses. This is particularly advantageous for sentiment analysis, where consistency in interpretation is crucial for deriving accurate insights. By setting a lower temperature, the model is more likely to produce similar outputs for the same input each time it is queried, thereby minimizing variations that might arise from a higher, more random temperature setting. This ensures that the sentiment analysis is both reliable and repeatable, aligning perfectly with the need for consistent evaluations of sentiment. Higher temperature settings would introduce more creativity and diversity in the responses, which can lead to inconsistent interpretations, making them less suitable for tasks where uniformity is required. Thus, utilizing a lower temperature value effectively establishes the desired consistency.