Rebuilding AI from First Principles
📰 Medium · NLP
Rebuild AI from first principles by re-examining tokenization, a crucial step in NLP that's more complex than just splitting text
Action Steps
- Re-examine the assumptions behind tokenization
- Explore alternative tokenization methods
- Apply tokenization techniques to a sample text dataset
- Compare the results of different tokenization approaches
- Implement a custom tokenization algorithm using a library like NLTK or spaCy
Who Needs to Know This
NLP engineers and researchers can benefit from understanding the intricacies of tokenization to improve their AI models, while data scientists can apply this knowledge to preprocess text data more effectively
Key Insight
💡 Tokenization is a complex process that requires careful consideration of linguistic and contextual factors
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💡 Tokenization is more than just splitting text. Rebuild your AI from first principles and improve your NLP models #NLP #AI
Key Takeaways
Rebuild AI from first principles by re-examining tokenization, a crucial step in NLP that's more complex than just splitting text
Full Article
I Thought Tokenization Was Just Splitting Text. I Was Wrong. Continue reading on Medium »
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