What is tokenization in AI?
An example of an AI chatbot conversation about tokenization in AI.
What is tokenization in AI?
Tokenization in AI refers to the process of breaking down text into smaller units, called tokens, which can be words, phrases, or symbols.
Why is tokenization important for natural language processing?
Tokenization is crucial because it helps AI models understand and process text data more effectively, enabling better analysis and generation.
Can you give me an example of tokenization?
Sure! For the sentence 'AI is amazing!', tokenization would break it down into tokens: ['AI', 'is', 'amazing', '!'].
What are the different types of tokenization?
There are several types, including word tokenization, subword tokenization, and character tokenization, each serving different purposes.
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