Model architecture defines the blueprint of an AI system, structuring how data flows through layers of algorithms to make predictions. It’s used by engineers to optimize performance for tasks like image recognition or language processing. Developers, researchers, and businesses benefit by building efficient, scalable models that solve real-world problems faster and more accurately.
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