Generative AI vs. Predictive AI, What are the Differences
What is generative AI?
Generative AI (gen AI) is artificial intelligence that responds to a user’s prompt or request with generated original content, such as audio, images, software code, text or video.
Gen AI models are trained on massive volumes of raw data. These models then draw from the encoded patterns and relationships in their training data to understand user requests and create relevant new content that’s similar, but not identical, to the original data.
Most generative AI models start with a foundation model, a type of deep learning model that “learns” to generate statistically probable outputs when prompted. Large language models (LLMs) are a common foundation model for text generation, but other foundation models exist for different types of content generation.
What is predictive AI?
Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. It extracts insights from historical data to make accurate predictions about the most likely upcoming event, result or trend.
Predictive AI models enhance the speed and precision of predictive analytics and are typically used for business forecasting to project sales, estimate product or service demand, personalize customer experiences and optimize logistics. In short, predictive AI helps enterprises make informed decisions regarding the next step to take for their business. 12
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