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- How does AI relate to natural language processing?
- What is autocomplete in NLP?
- What is natural language processing in AI with example?
- Which is better NLP or CV?
How does AI relate to natural language processing?
Natural language processing (NLP) is a branch of artificial intelligence within computer science that focuses on helping computers to understand the way that humans write and speak.
What is autocomplete in NLP?
Autocomplete helps to expedite the entry of long or complex words through using sophisticated NLP (natural language processing) algorithms to predict what a user will need. Although autocomplete is extremely familiar to most users in the smartphone environment, it plays a role in many other contexts as well.
What is natural language processing in AI with example?
Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.
Which is better NLP or CV?
NLP data uses less disk space, but CV data takes more.
Since it is text, the space taken is usually a few megabytes or, at most, a few gigabytes. However, CV data is usually jpg or png images. They are usually saved directly in folders. If you have millions of images, it can easily take many gigabytes or even more.
