Natural Language Processing (NLP)

What Is Natural Language Processing (NLP)?

NLP has been transformed by Large Language Models. Pre-2020, NLP required specialized models for each task (sentiment analysis, named entity recognition, translation). Today, a single LLM handles all these tasks and more.

Modern NLP applications include chatbots, document classification, sentiment analysis, translation, summarization, question answering, and content generation. The shift from task-specific models to general-purpose LLMs has dramatically reduced development time and cost.

For businesses, the key NLP decision in 2026 is: use an LLM API directly, fine-tune a model on your data, or build a RAG system that combines LLM reasoning with your proprietary documents.