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Questions and Answers
What type of cognitive abilities are highly desirable for machine learning systems in mathematical problem solving?
What type of cognitive abilities are highly desirable for machine learning systems in mathematical problem solving?
- Recognizing patterns in complex data
- Applying predefined rules to limited data
- Memorizing large datasets
- Learning new skills and inferring abstract rules from limited data (correct)
What type of models may be able to support advanced cognitive abilities if their training data samples these abilities widely enough?
What type of models may be able to support advanced cognitive abilities if their training data samples these abilities widely enough?
- Traditional statistical models
- Large language models with billions of parameters (correct)
- Rule-based systems with specific instructions
- Small-scale transformers with limited parameters
What game is used in the text to address the limitation of machine learning models to learn truly novel information and exhibit out of distribution generalization?
What game is used in the text to address the limitation of machine learning models to learn truly novel information and exhibit out of distribution generalization?
- Crossword puzzles
- Chess
- Sudoku (correct)
- Rubik's Cube
What strategy did human participants learn from a narrow range of training examples that showed strong out of distribution generalization in solving Sudoku?
What strategy did human participants learn from a narrow range of training examples that showed strong out of distribution generalization in solving Sudoku?
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What was required for small-scale transformers to generalize the Hidden Single strategy out of distribution?
What was required for small-scale transformers to generalize the Hidden Single strategy out of distribution?
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