Sergio Perez developed a comprehensive tutorial for the NVIDIA-NeMo/Megatron-Bridge repository, focusing on efficient large language model training using low-precision formats such as BF16, FP8, MXFP8, and NVFP4. Leveraging his expertise in Python, deep learning, and data processing, he demonstrated how to reduce memory usage and accelerate training iterations by configuring Megatron-Bridge for these formats. His work provided clear guidance and practical examples, enabling faster onboarding for new users and ensuring reproducible results across experiments. The depth of the tutorial addressed both technical implementation and usability, supporting the community in adopting advanced machine learning and NLP workflows.