Natural language models are a cornerstone of modern AI, enabling machines to read, write, and reason with human language at scale. What began as brittle, rule-based systems has evolved into powerful, pre-trained models capable of translation, summarization, search, and conversation with remarkable fluency. This article traces that evolution—from early NLP experiments to today’s foundation models—and explains why language has become one of AI’s most valuable and influential ca

EasyVisa explores how supervised machine learning can support high-stakes, regulated decision processes such as employment-based visa certification. Framed through decision theory and cost-sensitive learning, the project emphasizes imbalance-aware evaluation, reproducible pipelines, and human-in-the-loop governance. Rather than automating outcomes, the approach delivers probabilistic decision support that improves scalability, consistency, and transparency while preserving ac