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SpaCy is a fast and efficient Python library for natural language processing that offers an alternative to large language models for focused NLP tasks. The tutorial covers installation, pipeline architecture, tokenization techniques including customization, sentence segmentation, and lemmatization. SpaCy uses rule-based tokenization and provides non-destructive text processing, making it ideal for projects requiring speed and precision over the computational overhead of models like ChatGPT.

Mastering NLP with spaCY — Part 1