This solution addresses the "GPU communication timed out" error encountered during the training of a large language model (LLM). The updated code includes gradient accumulation, mixed precision training (FP16), and batch size optimization to manage GPU memory usage and reduce operation times. Additionally, recommendations are provided for adjusting system timeout settings (TDR) to prevent GPU timeouts, ensuring a more stable and efficient training process. The solution focuses on optimizing model training without compromising performance or accuracy.