Transformer architecture serves as the foundation of Large Language Models. To understand Transformer Architecture, there are various concepts that need clearer understanding beforehand. In this document, and in the upcoming few, I will touch on some of the important concepts such as:
1. Tokens
2. Tokenization
3. Word Embeddings
4. Encoders
5. Decoders
6. Self-Attention, etc.
In this document, Tokens and Tokenization are explained in detail. The document covers:
1. What Tokens are?
2. What Tokenization is?
3. Various types of Tokenization
4. Methods of Tokenization, and explanation with examples
I hope this document will help you understand the concept of Tokens well. Feel free to share the document with those who might benefit.
#Genai #AI #Datascience #Tokens #Tokenization
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