Worked on the NVIDIA/Megatron-LM repository to enhance the reliability of training workflows by addressing a critical input validation issue. Focused on backend and API development using Python, the developer corrected the temperature hyperparameter validation to enforce a stricter range of 0 < temperature <= 100.0, replacing the previous upper limit of 1000.0. This adjustment prevents misconfigurations that could lead to training instability or wasted computational resources. The solution included updating error messages for clarity and collaborating closely with another contributor to ensure robust code review. The work reflects careful attention to validation logic and collaborative engineering practices.