Natural Language Processing
Modern Tokenization Techniques for AI & LLMs
This course covers tokenization techniques used in modern AI models, including rule-based methods, subword tokenization (BPE, WordPiece, SentencePiece), and vocabulary optimizations. Learners will implement these methods and understand their impact on NLP model performance.
Python
4 lessons
14 practices
1 hour
Course details
Tokenize Text with NLTK
Sentence Tokenization with NLTK
Extract Monetary Values with Regex
Tokenization Showdown with NLTK and spaCy
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