Q: An AI tool is designed to provide users of an app with technical support. The AI model the tool uses has not been trained on new app features and starts responding to questions inaccurately. What does this scenario describe?
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Q: The purpose of an AI tool is to provide technical assistance to app users. Untrained on the latest app features, the AI model the tool employs begins answering queries incorrectly. What is described in this scenario?
- Prompt engineering
- Stagnation
- Incompetence
- Drift
Explanation: Described here is the phenomenon of drift. The phenomenon known as drift takes place when the performance of an artificial intelligence model deteriorates over time as a result of changes in the environment or the distribution of input data. Specifically, the model of the AI tool has not been updated to take into account the new capabilities of the app, which is the reason why it provides wrong responses to queries posed by users. This decline in performance is since the model does not react to changes in the environment, which ultimately results in a reduction in the efficiency with which it provides technical assistance at the same time.
