LLMs for Language Understanding: Advances and Applications

Large language models have moved beyond text generation to become the primary engine for language understanding tasks that once required custom classifiers, fine-tuned transformers, or brittle rule-based systems. Modern LLMs can parse sentiment, extract named entities, classify documents, and summarize long-form content from a single prompt, often matching or exceeding the accuracy of specialized models while requiring no