Agent drift occurs when an AI model's behavior shifts over time due to changing data or user interactions, diverging from its original design. It’s used to monitor and recalibrate systems in dynamic environments like chatbots or recommendation engines. Developers and data scientists benefit by maintaining accuracy, while businesses gain reliability and user trust.
Get alerts when this topic surges in newsletters. Free to start.
Sign up freeExplore more trends:Trending Topics ·AI Trends ·Business Trends ·Finance Trends ·Technology Trends