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**The AI Hype and What It Really Means**

As artificial intelligence (AI) has gained immense popularity, vendors have been quick to highlight how their products and services utilize AI technology. However, what they often refer to as AI is simply a component of the technology, such as machine learning.

**The Foundation of AI**

AI requires a strong foundation of specialized hardware and software for writing and training machine learning algorithms. While no single programming language is synonymous with AI, languages like Python, R, Java, C++, and Julia are popular among AI developers due to their features.

**How AI Systems Work**

In general, AI systems work by ingesting large amounts of labeled training data and analyzing it for correlations and patterns. These patterns are then used to make predictions about future states. For instance, a chatbot can learn to generate lifelike exchanges with people by being fed examples of text conversations. Similarly, an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples.

**The Rise of Generative AI**

New, rapidly improving generative AI techniques can create realistic text, images, music, and other media. These techniques are driving the latest advancements in AI, enabling the creation of highly convincing and diverse content.