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BST (Binary Search Tree) and AVL (Adelson-Velsky and Landis) trees are both types of binary trees used for storing and searching data. The key difference lies in their structure and performance.

BSTs are simple binary trees where each node has at most two children, and the left child is smaller than the parent while the right child is larger. This structure allows for efficient searching, insertion, and deletion operations. However, if the tree is not balanced, it can degrade into a linked list, leading to slower performance.

On the other hand, AVL trees are a type of self-balancing binary search tree where the heights of the two child subtrees of any node differ by at most one. This balancing property ensures that the tree remains relatively balanced, leading to faster search, insertion, and deletion operations compared to BSTs. However, maintaining this balance requires additional overhead, making AVL trees slightly slower in terms of performance compared to BSTs for some operations.

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