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What is Generative AI?

Generative AI, short for generative artificial intelligence, refers to a class of artificial intelligence systems designed to generate new, original content or data that resembles human-generated content (e.g., ChatGPT, Bard, Claude 2*). Unlike traditional AI systems that rely on explicit programming and predefined rules, generative AI has the ability to learn patterns and generate novel outputs on its own. This is typically achieved through machine learning techniques, such as neural networks, which are trained on large datasets to recognize and replicate patterns found in the input data.

In the context of natural language, generative AI can be used to create human-like text, generate responses to prompts, or even compose entire articles or other pieces of content and writing. In other domains, such as image generation, it can produce realistic and unique images, and in the field of music, it can compose original pieces. The versatility of generative AI makes it a powerful tool for a wide range of applications, from content creation to problem-solving, but it also raises ethical considerations, as the technology advances the ability to mimic and potentially manipulate human-like behavior.

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