Rub out token in text

Aug 6th, 2022
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How to rub out token in text

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when we humans read a sentence we naturally break it down into understandable units typically words and punctuation in English for example we might read the sentence the cat sat on the mat as six separate words however for chat GPT these understandable units are s and they might not always align neatly with our human division of words and punctuation so what is a exactly depending on the language a can be as short as one character or as long as one word for instance in English a word like a or I can be a single but so can a longer word like apple or orange in some cases a long word may be split into multiple s the specifics of what makes a can get quite technical but the key idea is that s are the pieces that chat GPT uses to read understand and generate text

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ization is nothing but splitting the raw text into small chunks of words or sentences, called s. If the text is split into words, then its called as Word ization and if its split into sentences then its called as Sentence ization.
Payment ization Example When a merchant processes the credit card of a customer, the PAN is substituted with a . 1234-4321-8765-5678 is replaced with, for example, 6f7%gf38hfUa. The merchant can apply the ID to retain records of the customer, for example, 6f7%gf38hfUa is connected to John Smith.
In order to analyze the data, it must be broken down into smaller pieces or s by a process which is called ization. A is a meaningful unit of text. The goal for this chapter is to restructure the datafram so there is one per row.
ization, in the realm of Natural Language Processing (NLP) and machine learning, refers to the process of converting a sequence of text into smaller parts, known as s. These s can be as small as characters or as long as words.
ization refers to a process by which a piece of sensitive data, such as a credit card number, is replaced by a surrogate value known as a . The sensitive data still generally needs to be stored securely at one centralized location for subsequent reference and requires strong protections around it.
s are the building blocks of Natural Language. ization is a way of separating a piece of text into smaller units called s. Here, s can be either words, characters, or subwords. Hence, ization can be broadly classified into 3 types word, character, and subword (n-gram characters) ization.
ization is a preprocessing technique in natural language processing (NLP). It breaks down unstructured text data into smaller units called s. A single can range from a single character or individual word to much larger textual units.

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