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Definition for Generative Ai
What is Generative AI?
Generative AI refers to a class of artificial intelligence technologies designed to create new content such as text, images, audio, video, and even code. Leveraging advanced machine learning models like Generative Adversarial Networks (GANs) and transformer-based models (e.g., GPT), Generative AI can produce highly realistic and contextually relevant outputs. With applications spanning across industries, from content creation and design to software development and customer service, Generative AI is transforming the way humans and machines interact.
How Does Generative AI Work?
At its core, Generative AI works by learning patterns from vast datasets and using that knowledge to generate new data that mimics the original. It employs neural networks trained through deep learning techniques to understand structure, context, and creativity. The AI system learns not just to replicate but to innovate—creating new combinations, responses, or media that appear original.
Applications of Generative AI
Generative AI is widely used in art generation, personalized marketing, synthetic media, virtual assistants, and software engineering. As Generative AI continues to evolve, it is reshaping digital experiences and redefining the boundaries of human-AI collaboration.
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Top Global Articles on Enterprise Software Evaluation
from the Web
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A structured process for aligning product features with organizational goals.
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Why the evaluation process is broken—and how to fix it.
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Lessons from 20 years of enterprise implementations.
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