Natural Language Processing
Technology that helps computers understand, interpret, and manipulate human language.
In Simple Terms
It's like having a translator who not only knows the words but also understands jokes, sarcasm, and context. NLP helps computers understand that "I'm feeling blue" doesn't mean you turned into a Smurf.
Detailed Explanation
Natural Language Processing (NLP) is a branch of AI that gives machines the ability to read, understand, and derive meaning from human languages. NLP combines computational linguistics with statistical, machine learning, and deep learning models. Applications include chatbots, sentiment analysis, language translation, and voice assistants like Siri and Alexa.
Related Terms
Context Engineering
Context engineering is the practice of structuring and managing context—including system prompts, RAG (Retrieval-Augmented Generation), memory, and few-shot examples—so AI systems have the right information to answer accurately.
Read moreRAG
Retrieval-Augmented Generation combines AI models with external knowledge retrieval for accurate responses.
Read moreIntent Engineering
Intent engineering is the practice of aligning AI behavior with user goals and business outcomes—designing prompts and workflows so the AI understands and fulfills what users actually want.
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