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Technical

Natural Language Processing(NLP)

Definition

A field of AI focused on enabling computers to understand, interpret, and generate human language.

In-Depth Explanation

NLP combines computational linguistics with machine learning to process and analyze natural language data. Tasks include sentiment analysis, named entity recognition, machine translation, text summarization, and question answering. Modern NLP leverages large language models for state-of-the-art performance.

Real-World Example

Google Translate uses NLP to convert text between languages while preserving meaning.

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Related Terms

Large Language Model(LLM)

A type of AI model trained on massive amounts of text data to understand, generate, and manipulate human language.

Sentiment Analysis

NLP technique that identifies and extracts subjective information, determining whether text expresses positive, negative, or neutral sentiment.

Tokenization

The process of breaking down text into smaller units called tokens that AI models can process.