Artificial Intelligence (AI) and Generative AI are two different concepts that are often confused with each other. While both of them are related to the field of computer science, they have different applications and uses. This article will explore the difference between AI and Generative AI.
As the name suggests, AI refers to the intelligence created by machines. It is a broad field that includes various techniques such as machine learning, deep learning, and neural networks. The primary goal of AI is to create machines that can perform tasks that typically require human intelligence, such as recognizing speech, images, and patterns. AI is used in various applications such as chatbots, self-driving cars, and virtual assistants.
On the other hand, Generative AI is a subset of AI that focuses on creating new and unique content. Generative AI uses trained neural networks to generate new data, such as images, music, and text. It is also known as creative AI because it can create unique content that has never been seen before. Generative AI is used in various applications such as art, music, and literature.
The primary difference between AI and Generative AI is their purpose. AI is used to perform tasks that require intelligence, while Generative AI is used to create new and unique content. Another difference is the complexity of the neural networks used in each field. AI is designed to perform a specific task, while Generative AI is designed to create new, original content.
Here are a few links where you can get a more in-depth understanding of the topic:
The Difference Between Generative AI And Traditional AI: An Easy Explanation For Anyone
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