NVIDIA has made a breakthrough in speeding up the process of generating outputs from large language models. By integrating a technique called speculative decoding into reinforcement learning workflows, they have achieved significant performance improvements. This development could make training and deploying massive models faster and more efficient. Understanding the Bottleneck in Model Generation When training