Researchers have developed a method called Universal Assisted Generation (UAG) that allows for faster decoding with any assistant model. This is achieved by re-ranking the output of a base model using an external assistive model. The UAG approach can be used with various pre-trained models, including those from Hugging Face's Transformers library. According to the developers, this method can improve decoding speed and quality simultaneously. --- Why it matters: This matters because it enables faster and more efficient use of large language models in applications such as chatbots, virtual assistants, and content generation tools. Source: https://huggingface.co/blog/universal_assisted_generation