👉 Passage computing is an advanced AI paradigm that involves training models to process and generate human language directly from raw text without explicit programming for specific tasks. It leverages large datasets of text to learn patterns, context, and relationships inherent in language, enabling models to perform complex natural language understanding and generation tasks autonomously. Unlike traditional methods that rely on handcrafted rules or feature engineering, passage computing uses deep learning architectures like transformers to comprehend and produce coherent text across various domains, from summarization and translation to question-answering and dialogue systems. This approach significantly enhances the flexibility and adaptability of AI systems, allowing them to generalize across diverse linguistic contexts with minimal human intervention.
