Tokenization Explained NLP Basics
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YouTubeAI Simplified
Tokenization Explained NLP Basics
Tokenization is one of the first steps in Natural Language Processing (NLP) where text is broken down into smaller pieces called tokens. These tokens can be words, subwords, or characters, allowing AI models to analyze and understand language more effectively. Tokenization is used in many AI applications such as chatbots, translation systems ...
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Encoding Vs Encryption Vs Tokenization.• Encoding: Think of it as changing the format of your data so that it can be properly consumed or transmitted. It’s not meant to be secret. Base64 is a common example. If someone sees encoded data, they can decode it easily.• Encryption: Encryption scrambles data using algorithms and keys so that only authorized parties can read it. Even if the data is intercepted, it’s meaningless without the key. AES and RSA are common encryption methods.• Tokenization:
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