Constraint Satisfaction Problems are mathematical problems where a set of variables must satisfy a given set of constraints. CSPs are used in AI for tasks such as scheduling, resource allocation, and puzzle-solving. Techniques like Backtracking and Constraint Propagation are used to find feasible solutions.
Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…