What is randomness in AI and how does it affect decision-making?
Randomness in AI refers to the use of unpredictable elements in algorithms, which can enhance creativity and exploration.
Can you give an example of how randomness is used in AI?
Sure! In generative models, randomness helps create diverse outputs, like in art or music generation.
Does randomness always lead to better results?
Not necessarily. While it can enhance exploration, too much randomness may lead to suboptimal or nonsensical outcomes.
How do AI systems balance randomness and determinism?
AI systems often use techniques like temperature settings in sampling to control the level of randomness while maintaining coherence.
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