Natural Language Processing (NLP) is a subfield of artificial intelligence and computational linguistics focused on the interaction between computers and human language. Its primary objective is to enable machines to understand, interpret, and generate human language in a manner that is both meaningful and useful. By bridging the gap between human communication and computer data, NLP allows systems to process vast amounts of unstructured text and speech.
The field encompasses two main components: natural language understanding (NLU) and natural language generation (NLG). NLU involves parsing text to extract meaning, intent, and sentiment, while NLG focuses on producing coherent and contextually appropriate text from structured data. Together, these components allow for applications such as machine translation, sentiment analysis, and automated summarization.
In the context of AI agents, NLP serves as the critical interface for communication. It enables agents to receive instructions, query knowledge bases, and provide responses in natural language, thereby making complex computational processes accessible and actionable for human users.