Simple chatbots and keyword-based text analysis are common example. Limited understanding but useful for basic tasks like FAQ
Supervised learning, where models learn from labeled data, is key Sentiment analysis and spam detection are classic examples
Recurrent Neural Networks (RNNs) and Transformer models revolutionized NLP These models can understand context and generate human- like text
Chatbots like GPT-3 and BERT can hold dynamic conversation They understand context, generate coherent response
Models like GPT-4 achieve human-level comprehension and reasoning They can summarize, translate and answer complex questions
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