Which best describes the difference between predictive AI and generative AI?
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Reference / correct answer:
Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input.
Most accepted answer: C. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input.
Community votes: C=5
Selected Answer: C C. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input. upvoted 1 times
Selected Answer: C C. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input. upvoted 1 times
Point to ponder: Does Generative AI generate original output (everytime?) for a given input? upvoted 1 times
Selected Answer: C C. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input. upvoted 1 times
Selected Answer: C C. At their foundation, both generative AI and predictive AI use machine learning. However, generative AI turns machine learning inputs into content, whereas predictive AI uses machine learning to determine the future and boost positive outcomes by using data to better understand market trends. https://www.eweek.com/artificial-intelligence/generative-ai-vs-predictive-ai/ upvoted 3 times