The Karush-Kuhn-Tucker (KKT) conditions are necessary conditions for a solution in nonlinear programming to be optimal, given certain regularity conditions. They generalize the method of Lagrange multipliers by incorporating inequality constraints, enabling the solution of constrained optimization problems more effectively.