: Unlike previous methods that required separate "reward models" to judge text, ZIP-RC requires no extra models or architectural changes.

: It is a "sans-io" implementation, meaning it handles the logic of the ZIP format independently of how files are actually read or written. This makes it highly portable across different systems. Key Features :

: Supports ZIP data appended to other files (like self-extracting executables).

: Can handle archives larger than 4GB and more than 65,536 entries.

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.