No Free Lunch Theorem

The No Free Lunch (NFL) Theorem states that, when considering all possible problems, no single algorithm or method outperforms others universally. In other words, an approach that works exceptionally well on some problems may perform poorly on others, and this balance holds true overall. It reminds us that selecting the best solution depends on the specific problem at hand, and there's no one-size-fits-all method. To find effective solutions, we must tailor algorithms to particular challenges rather than expecting a universally superior one.