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Deep Learning's Triumphs and Trials
This chapter explores the successes and limitations of deep learning in AI, underscoring the necessity of hybrid systems that blend traditional methods with modern algorithms. Through examples like AlphaGo and AlphaFold, the discussion highlights AI's struggles with generalization and adaptability in real-world scenarios compared to human common sense.