Mastering Alpha-Beta Pruning: Boost Your AI Efficiency 🚀

@genaiexp Alpha-beta pruning is a technique used to reduce the number of nodes evaluated by the Minimax algorithm, without affecting the final decision. By eliminating branches that won't affect the ultimate outcome, we can significantly cut down on computation time. This process involves two parameters: Alpha, which tracks the minimum score that the maximizing player is assured, and Beta, the maximum score that the minimizing player is assured. When these values overlap, further exploration of a branch is unnecessary, thus optimizing the algorithm's efficiency.