Vowpal Wabbit is a machine learning system implementing frontier algorithms including online learning, contextual bandits, and reinforcement learning techniques. It uses feature hashing for scalability, supports flexible input formats with free-form text features, and prioritizes performance in its C++ implementation. The library provides various optimization algorithms with sparse gradient descent as the default baseline.