How can I improve tokenization in machine learning?
An example of an AI chatbot conversation about improving tokenization in ML.
What are some effective methods to improve tokenization in machine learning?
Improving tokenization can involve using subword tokenization, applying context-aware models, or leveraging pre-trained embeddings.
Can you explain subword tokenization and its benefits?
Subword tokenization breaks words into smaller units, which helps in handling rare words and reduces vocabulary size.
What tools or libraries can I use for tokenization?
You can use libraries like NLTK, SpaCy, or Hugging Face's Tokenizers for effective tokenization in your ML projects.
How does tokenization affect the performance of my model?
Tokenization impacts model performance by influencing how well the model understands and processes text data.
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