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Natural language refers to the regular speech and text that we use to communicate with each other.
This is AI meeting language at an incredibly sophisticated level.
Why should businesses care about NLP?
NLP techniques can accelerate and automate workflows involving all of these things.
Sukh Sohal, Senior Consultant at Affinity Reply agrees.
For companies, NLP can be the difference between overwhelming customer service demands and an efficient, responsive operation.
Kubytskyi is excited about the use of LLMs and how its elevating these NLP capabilities.
This level of understanding allows businesses to offer personalized, responsive services without sacrificing efficiency, says Kubytskyi.
NLP applications
NLP has become so integrated into our lives that we often overlook it.
One real-world software of NLP that strikes Leichenauer is as a smart assistant for writing code.
How does NLP work?
NLP is built on two key components.
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Technically speaking, Sohal says, NLP works by breaking language down into patterns computers can recognize.
It starts with tokenization, where sentences are split into words or smaller chunks.
Then, grammar and structure are analyzed to understand the relationships between words.
Semantics come next, where computers use massive data to grasp meanings, even for slang or idioms.
Finally, context and intent are added through machine learning, especially deep learning.
