Explore the distinctions between predictive AI and generative AI. Learn how predictive AI leverages machine learning for output prediction, while generative AI takes a different approach. Enhance your understanding of AI fundamentals with Salesforce Certified AI Associate expertise.
Table of Contents
Question
Which best describes the different between predictive AI and generative AI?
A. Predictive new and original output for a given input.
B. Predictive AI and generative have the same capabilities differ in the type of input they receive
C. predictive AI receives raw data whereas generation AI receives natural language.
D. Predictive AI uses machine learning to classes or predict output from its input data whereas generative AI does not use machine learning to generate its output.
Answer
A. Predictive new and original output for a given input.
Explanation
The difference between predictive AI and generative AI is that predictive AI analyzes existing data to make predictions or recommendations based on patterns or trends, while generative AI creates new content based on existing data or inputs. Predictive AI is a type of AI that uses machine learning techniques to learn from existing data and make predictions or recommendations based on the data. For example, predictive AI can be used to forecast sales, revenue, or demand based on historical data and trends. Generative AI is a type of AI that uses machine learning techniques to generate novel content such as images, text, music, or video based on existing data or inputs. For example, generative AI can be used to create realistic faces, write summaries, compose songs, or produce videos.
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