Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- How does tokenization impact the representation of words in word embeddings?
- What are some common techniques for normalizing text data to reduce bias in word embeddings?
- Can you explain the concept of stopword removal and its effect on word embeddings?
- How does lemmatization or stemming impact the accuracy of text classification models?
- What is the role of data augmentation in reducing bias in word embeddings for text classification?
- Can you discuss the importance of handling out-of-vocabulary (OOV) words in word embeddings?
- How do different word embeddings algorithms, such as Word2Vec and GloVe, handle bias in text data?
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