AZNT will serve as the designated Real World Asset (RWA) token for this project. As the exclusive token accepted within the ecosystem, AZNT will play a crucial role in facilitating transactions and interactions within the project. With only 20% of the total token supply available in the market, the demand for AZNT is expected to increase significantly as the project progresses.
Adaptive Zero-Knowledge Neural Tokenization is a tokenization approach that utilizes neural networks to perform the tokenization task. The "Adaptive Zero-Knowledge" part of the name suggests that the tokenization process adapts to the characteristics of the input text without prior knowledge about the language or domain.
This adaptiveness allows the tokenization to be effective across different types of text, including formal and informal language, technical jargon, slang, and more. Neural networks are a type of machine learning model inspired by the structure and function of the human brain. In the context of tokenization, neural networks are trained on large corpora of text data to learn patterns and relationships between words and characters. This enables them to effectively segment text into meaningful tokens.
