Generative Artificial Intelligence (Generative AI) is one of the fastest growing areas in the field of artificial intelligence and machine learning. It focuses on developing intelligent systems that can generate new content such as text, images, audio, and videos by learning patterns from large datasets. Unlike traditional machine learning models that mainly analyze existing data and make predictions, generative AI models have the ability to create entirely new outputs that resemble real-world data. Recent advancements in deep learning, neural networks, and transformer-based architectures have significantly improved the performance of generative AI technologies. These systems are widely used in industries such as healthcare, education, entertainment, marketing, and software development. This paper aims to explore the concept of generative AI, its technologies, working process, applications, advantages, limitations, and future scope. The study highlights how generative AI is transforming modern computing systems and contributing to the development of intelligent digital technologies.
Pooja Rajendra Kale (Thu,) studied this question.
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