What is the future of NLP in Python?
An example of an AI chatbot conversation about the future of NLP using Python.
What is the future of NLP in Python?
The future of NLP in Python looks promising with advancements in deep learning and libraries like SpaCy and Hugging Face.
What are some key trends to watch in NLP?
Key trends include increased use of transformer models, better multilingual support, and ethical AI considerations.
How can I get started with NLP in Python?
You can start by exploring libraries like NLTK, SpaCy, and TensorFlow, and following online tutorials.
What are the challenges in NLP today?
Challenges include handling ambiguity, understanding context, and ensuring fairness in AI models.
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