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Artificial intelligence models have advanced significantly in recent years, especially in tasks that require reasoning, such as mathematics, programming, and scientific problem solving. But these advances come with challenges: computational inefficiency and a tendency to overthink. Overthinking in artificial intelligence occurs when models engage in overly lengthy reasoning, leading to increased inference costs and slower … Read more

Advances in artificial intelligence (AI) and machine learning (ML) have enabled transformative advances across various fields. However, the “systems domain” that focuses on optimizing and managing basic AI infrastructure remains relatively underexplored. This domain involves critical tasks such as diagnosing hardware problems, optimizing configurations, managing workloads, and evaluating system performance. These tasks often pose significant … Read more

Pretrained vision models have been the foundation of modern computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a fairly massive amount of data inflow, creating dynamic data environments that require a continuous learning process for our models. New data protection regulations require specific information to be … Read more