A research team is building a chatbot and needs it to understand and respond to user queries contextually over a conversation. Which NLP mechanism allows the model to remember and utilize previous interactions in a conversation?
- Bag of Words (BoW)
- Latent Dirichlet Allocation (LDA)
- Recurrent Neural Networks (RNN)
- Transformer Models
Transformer models, such as the GPT-3 and BERT, are capable of understanding context in conversations and remembering previous interactions. They use attention mechanisms to capture context and respond contextually.
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