AI Glossaryapplications

Natural Language Processing (NLP)

The branch of AI focused on enabling computers to understand, interpret, and generate human language in useful ways.

How It Works

NLP encompasses everything AI does with text: understanding meaning (comprehension), extracting information (parsing), generating text (writing), and converting between formats (translation, summarization). Before LLMs, NLP required separate specialized models for each task. Now, a single LLM handles most NLP tasks through prompting. The NLP pipeline in a typical application: (1) Input processing (tokenization, language detection), (2) Understanding (intent classification, entity extraction), (3) Processing (search, retrieval, reasoning), (4) Generation (response creation, formatting). Modern AI APIs handle all of this in a single call, but understanding the pipeline helps you debug issues and optimize prompts. For builders, NLP is what most AI applications actually do. Every chatbot, search engine, content generator, data extractor, and text analyzer is an NLP application. The key skill is knowing which NLP sub-task your feature requires (classification? extraction? generation? search?) and choosing the right model and approach for it.

Common Use Cases

  • 1Text classification and categorization
  • 2Language translation
  • 3Document summarization
  • 4Intent detection for chatbots
  • 5Information extraction from text

Related Terms

Large Language Model (LLM)

A neural network trained on massive text datasets that can generate, understand, and reason about human language.

Semantic Search

A search approach that finds results based on meaning rather than exact keyword matches, using embeddings to understand the intent behind queries.

Sentiment Analysis

An NLP technique that determines the emotional tone of text, classifying it as positive, negative, neutral, or more granular emotions.

Named Entity Recognition (NER)

An NLP technique that identifies and classifies named entities in text, such as people, organizations, locations, dates, and monetary values.

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