Generative AI refers to artificial intelligence systems designed to create new content, rather than simply classifying or analysing existing content. The outputs can include text, images, audio, video, code, and 3D models.

Examples of generative AI tools include ChatGPT and Claude (text generation), Midjourney and DALL-E (image generation), GitHub Copilot (code generation), Suno (music generation), and various video tools like Sora.

What sets generative AI apart from earlier AI is the quality and versatility of what it produces. These systems do not just retrieve or rearrange existing content. They generate genuinely new outputs that, in many cases, are difficult to distinguish from human-created work.

For businesses, generative AI offers significant productivity potential. Content creation, translation, image production, coding assistance, and customer communication can all be accelerated substantially. The risks include quality inconsistency, copyright questions around training data, factual errors in generated content, and the potential for misuse in creating misleading or deceptive material.

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