What's the Difference Between Natural Language Processing and Machine Learning?

MakeUseOf

By Idowu Omisola

Published 19 hours ago

These two terms are at the core of the generative AI revolution, but what do they mean, and how do they differ?

Machine learning and natural language processing (NLP) are often seen as synonymous due to the rise of AI that generates natural texts using machine learning models.
Machine learning involves the development of algorithms that use data analysis to learn patterns and make predictions autonomously, while NLP focuses on fine-tuning, analyzing, and synthesizing human texts and speech.
Both machine learning and NLP are subsets of AI, but they differ in the type of data they analyze. Machine learning covers a broader range of data, while NLP specifically uses text data to train models and understand linguistic patterns.

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