What is the difference between symbolic and subsymbolic AI?
Symbolic AI uses explicit rules and symbols to represent knowledge, while subsymbolic AI relies on neural networks and data patterns.
Can you give me examples of each type?
Sure! Symbolic AI examples include expert systems like MYCIN, while subsymbolic AI includes deep learning models like GPT.
Which one is more effective for natural language processing?
Subsymbolic AI, particularly deep learning, has proven more effective for natural language processing due to its ability to learn from vast amounts of data.
Are there any limitations to subsymbolic AI?
Yes, subsymbolic AI can struggle with explainability and may require large datasets to perform well.
What future developments can we expect in AI?
Future developments may include hybrid models that combine symbolic and subsymbolic approaches for better performance and understanding.
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