Top 5 Levels of Natural Language Processing (NLP)

Level 1: Rule-Based Systems

Simple chatbots and keyword-based text analysis are common examples

Limited understanding but useful for basic tasks like FAQs

Level 2 - Machine Learning Models

Supervised learning, where models learn from labeled data, is key

Sentiment analysis and spam detection are classic examples

Level 3 - Deep Learning

Recurrent Neural Networks (RNNs) and Transformer models revolutionized NLP

These models can understand context and generate human-like text

Level 4 - Conversational AI

Chatbots like GPT-3 and BERT can hold dynamic conversations

They understand context, generate coherent responses

Level 5 - Contextual Understanding

Models like GPT-4 achieve human-level comprehension and reasoning

They can summarize, translate and answer complex questions

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