Generative AI has advanced fast, but its performance still depends on the strength of the data behind it. Training data shapes how well a model understands patterns, produces fluent outputs, and adapts to real-world tasks. When the data is noisy, limited, or biased, the model usually reflects those flaws. When the data is clean, diverse, and aligne… Read More