As artificial intelligence (AI) continues to thrive in its ability to comprehend human language and its context, mastering the art of Tokenization in its realm is crucial. For data scientists and experts it serves as a foundation model for the AI subset of Natural Language Processing (NPL).
Before delving into tokenization in AI, one would like to know what is the concept of “tokenization” or “token" in AI's language model.
Tokens are the building blocks of AI systems, chatbots and virtual assistants. Each token is smaller, secure and distinctive units broken down into words, sub-words, numbers, characters, or punctuations within sentences.
According to OpenAI, in English, one token is roughly ¾ of a word, so 100 tokens is about 75 words.
Deep Learning models are t
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