What is deep learning in NLP?
An example of an AI chatbot conversation about deep learning applications in natural language processing.
What is deep learning in NLP?
Deep learning in NLP refers to using neural networks to understand and generate human language. It enables tasks like translation, sentiment analysis, and more.
How does it differ from traditional machine learning?
Unlike traditional machine learning, which relies on feature engineering, deep learning automatically learns features from raw data, making it more effective for complex tasks.
Can you give me examples of deep learning models used in NLP?
Sure! Some popular models include BERT, GPT, and LSTM networks, which are used for tasks like text generation and understanding context.
What are the challenges of using deep learning in NLP?
Challenges include the need for large datasets, high computational power, and the difficulty in interpreting model decisions.
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