Core Concepts

What is NLP (Natural Language Processing)?

The field of AI focused on understanding and generating human language.

Definition

Natural Language Processing (NLP) is the branch of AI concerned with enabling computers to understand, interpret, and generate human language. Modern NLP is powered by transformer-based models and encompasses tasks like text classification, sentiment analysis, translation, summarization, question answering, and conversational AI.

💡 Example

When Gmail suggests email replies, when Google translates a webpage, or when Grammarly corrects your grammar — all of these use NLP. ChatGPT and Claude represent the cutting edge of NLP technology.

Related concepts

LLM (Large Language Model)

A type of AI trained on massive text datasets to understand and generate human language.

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Transformer

The neural network architecture that powers modern AI language models.

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Generative AI

AI systems that create new content — text, images, code, music, video.

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What is NLP (Natural Language Processing)?

Natural Language Processing (NLP) is the branch of AI concerned with enabling computers to understand, interpret, and generate human language. Modern NLP is powered by transformer-based models and encompasses tasks like text classification, sentiment analysis, translation, summarization, question answering, and conversational AI.

How does NLP (Natural Language Processing) work in practice?

When Gmail suggests email replies, when Google translates a webpage, or when Grammarly corrects your grammar — all of these use NLP. ChatGPT and Claude represent the cutting edge of NLP technology.