Give two differences between rule-based model and learning-based model.

The two differences between rule-based and learning-based models are as follows:

1. Decision Making — A rule-based model makes decisions by following specific predefined rules set by humans, whereas a learning-based model makes decisions by analysing patterns in the data it has been trained on.

2. Learning Ability — A rule-based model does not learn from new experiences and always uses the same set of rules unless they are manually updated. In contrast, a learning-based model can learn from new data and improve over time, eliminating the need for manual rule updates.