: Can handle archives larger than 4GB and more than 65,536 entries.
: Unlike previous methods that required separate "reward models" to judge text, ZIP-RC requires no extra models or architectural changes. rc.zip
In the realm of Large Language Models (LLMs), is a groundbreaking method for adaptive and efficient text generation. It addresses the "compute vs. quality" trade-off by allowing models to self-introspect during inference. : Can handle archives larger than 4GB and