What are some effective ways to improve context understanding in my AI chatbot?
To enhance context understanding, consider implementing user history tracking, context-aware responses, and natural language processing techniques.
Can you explain how user history tracking works?
User history tracking involves storing previous interactions to provide personalized responses and maintain context over time.
What are some NLP techniques I can use?
You can use techniques like named entity recognition, sentiment analysis, and context embeddings to improve understanding.
How do I implement these techniques in my chatbot?
You can integrate NLP libraries like spaCy or NLTK, and use APIs like OpenAI's for advanced context handling.
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