In the rapidly evolving field of artificial intelligence, keeping up with terminology can be challenging. To make matters more complex, many core AI concepts are known by multiple names, which can create confusion for newcomers and even experienced practitioners. Whether you’re reading research papers, communicating with colleagues, or exploring job descriptions, understanding these terminological variations is essential for clarity and precision.
This comprehensive guide explores 15 fundamental AI concepts and their alternative names, providing clear explanations and contextual information to help you navigate the intricate landscape of AI terminology with confidence.
1. Model Decay / Model Drift / Concept Drift
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