High quality training data is the primary driver of model performance—not architecture alone. A carefully curated dataset will consistently elevate a basic algorithm, while a noisy dataset will cripple a state-of-the-art model. Understanding this dynamic is essential for anyone building practical, reliable AI solutions that actually work in the real world.
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