What is the difference between symbolic AI and machine learning AI?
Symbolic AI uses explicit rules and logic to represent knowledge, while machine learning AI learns from data patterns.
Can you give me examples of each type?
Sure! Symbolic AI examples include expert systems like medical diagnosis tools. Machine learning examples include image recognition.
Which one is more effective for natural language processing?
Machine learning, especially deep learning, has proven more effective for natural language processing due to its ability to learn from vast amounts of text.
Are there any limitations to machine learning AI?
Yes, machine learning can require large datasets, may struggle with generalization, and can be opaque in decision-making.
Is symbolic AI making a comeback?
Yes, there's renewed interest in symbolic AI, especially in hybrid approaches that combine it with machine learning for better reasoning.
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