In this article, the authors present three didactic examples of using Chat GPT in mathematical programming optimization tasks: linear programming, nonlinear programming and convex programming. These examples are analyzed in terms of the correctness of the methods used and the solutions obtained. The article also describes a didactic experiment with the participation of Informatics and Econometrics students of Warsaw University of Life Sciences, consisting in solving optimization tasks on their own using Chat GPT. The final conclusions of the article also present a comparison of the approach based on the CAS methodology and the approach using Chat GPT.