What are some examples of super functions in AI?
Super functions in AI refer to advanced capabilities that enhance performance. Examples include natural language processing, image recognition, and predictive analytics.
Can you explain how natural language processing works?
Natural language processing (NLP) involves algorithms that allow computers to understand, interpret, and respond to human language. It uses techniques like tokenization, parsing, and sentiment analysis.
What about image recognition? How does that function?
Image recognition uses deep learning algorithms to identify objects, people, or scenes in images. It involves training models on large datasets to improve accuracy.
Are there any real-world applications of these super functions?
Yes, real-world applications include virtual assistants, autonomous vehicles, and healthcare diagnostics, all leveraging these super functions.
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