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 Generative Artificial Intelligence (AI) has undergone a remarkable transformation over the past decade, evolving from simple rule-based systems to advanced models capable of creating realistic text, images, audio, and video.

GANs introduced two neural networks a generator that creates data and a discriminator that judges its authenticity. Their continuous competition enabled the creation of highly realistic images and videos, revolutionizing digital content generation. Simultaneously, Variational Autoencoders (VAEs) advanced data
driven creativity by learning data distributions and generating smooth, controlled outputs.

Since the launch of ChatGPT in November 2022, OpenAI has become widely
recognized, but its impact extends far beyond chatbots. According to Enterprise Apps Today, OpenAI’s technology is being adopted across multiple industries most notably in technology and education, followed by business services, manufacturing, and finance.

• Executive Summary
• Evolution of Generative AI Models
• Company Profiles

― OpenAI

― Gemini

― Perplexity AI

• Use Cases and Industry Applications
• Strengths and Limitations
• Market Position and Future Outlook
• Bibliography

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