DeBN

DeBN, or Deep Bidirectional Encoder Representations from Neural Networks, is a machine learning model designed for understanding and processing human language. It analyzes text by considering context from both the beginning and end of sentences, enabling it to grasp nuanced meanings and relationships between words. This approach helps machines perform tasks like translating languages, answering questions, or summarizing content more accurately. In essence, DeBN enhances a computer's ability to understand language in a way that is more natural and context-aware, improving interactions between humans and AI systems.