Generative AI (Gen AI) is a transformative branch of artificial intelligence that stands out for its ability to create new content, rather than simply analyzing or categorizing existing information. It sets itself apart from traditional AI and machine learning in its generative nature. It doesn’t just analyze data - it continuously learns and improves over time. The more data it collects, the more it becomes refined.

 

Like all artificial intelligence, generative AI works by using machine learning models, very large models that are pre-trained on vast amounts of data. Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. Generative AI is deep learning, a type of machine learning that imitates the workings of the human brain in processing data and creating patterns for decision-making.

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Generative AI is already having a profound impact on business applications. It can drive innovation, automate creative tasks, and provide personalized customer experiences. ​It has the potential to transform entire industries. Until now, machines have never been able to exhibit behavior indistinguishable from humans. But new generative AI models are not only capable of carrying on sophisticated conversations with users; they also generate original content. Generative AI evolves as it continues to train on more data. It operates on AI models and algorithms that are trained on large unlabeled data sets.  However, unlike traditional machine learning models that learn patterns and make predictions or decisions based on those patterns, generative AI takes a step further, it not only learns from data but also creates new data instances that mimic the properties of the input data.

 

What makes Gen AI unique is its foundation in large language models and deep learning architectures that enable it to understand context, mimic human creativity, and generate original outputs based on learned patterns. Unlike traditional AI, which follows predefined rules or logic trees, Gen AI can adapt and evolve its responses, often producing results that feel intuitive, nuanced, and surprisingly human-like.

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While earlier AI models relied heavily on predefined rules and human inputs, generative AI enables a more fluid interaction between humans and machines. The ability to create customized content in real-time allows businesses to enhance user experiences and personalize products at scale.

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Generative AI technology will cause a profound disruption to industries and may ultimately aid in solving some of the most complex problems facing the world today. 

 

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