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Artificial Intelligence (AI) and Generative AI: Understanding the Differences

What is Generative AI?<br><br>Generative AI, as the name suggests, refers to a type of artificial intelligence that can generate new content. This content can take various forms, such as text, images, audio, video, or even 3D models. What distinguishes Generative AI from other types of AI is its ability to create new, original material rather than simply recognizing patterns, categorizing data, or performing pre-programmed tasks.<br><br>Generative AI Course can provide essential skills, helping creatives leverage AI tools to push the boundaries of their craft and address the unique opportunities.

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Artificial Intelligence (AI) and Generative AI: Understanding the Differences

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  1. Generative AI Certification Difference Between AI and Generative AI Comparison Generative AI Artificial Intelligence Task Focus: Definition: AI focuses on tasks requiring human intelligence, like decision-making, reasoning, and automation. Definition: Generative AI creates new, original content like text, images, or music. AI: Problem-solving and automation. Generative AI: Creativity and content generation. Examples: Examples: Content creation Digital art Music composition Autonomous vehicles Customer service Fraud detection Data Output: AI: Decisions and classifications. Generative AI: New data and original content. Core Components: Machine Learning Deep Learning Natural Language Processing Computer Vision Key Technologies: GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) Transformers (like GPT) Learning Process: AI: Typically supervised learning. Generative AI: Unsupervised or semi- supervised learning. Visuals: Use symbols such as a paintbrush, music notes, a text document, and artistic patterns. Visuals: Use icons such as a robot, gears, charts, and graphs.

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