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Exploring the landscape of large language models: Foundations, techniques, and challenges
In this review paper, we delve into the realm of Large Language Models (LLMs), covering their foundational principles, diverse applications, and nuanced training processes.
Model-agnostic explainable artificial intelligence for object detection in image data
The experimentations on various object detection datasets and models showed that BODEM can be effectively used to explain the behavior of object detectors and reveal their vulnerabilities.
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