The emergence of Generative Pre-trained Transformer (GPT) models has revolutionized how machines handle language, offering human-like fluency, extensive knowledge, and remarkable adaptability. Yet, despite their sophistication, GPT models remain fundamentally statistical: they excel at pattern recognition but struggle with formal logic, precise reasoning, and reliability under constraints. To overcome these limitations, researchers and engineers are…

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