11. Types of Generative AI
Generative AI refers to advanced AI systems capable of creating new content, including text, images, music, code, and videos. It is driven by models trained on vast datasets that allow them to mimic human creativity across various applications. Despite its benefits, generative AI raises ethical concerns such as misinformation and job displacement, necessitating responsible usage among its users.
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What we have learnt
- Generative AI can create original content that resembles human-made works.
- Different types of generative AI exist, including those for text, images, audio, video, code, and 3D objects.
- Ethical considerations are crucial in the application of generative AI to prevent misuse and ensure responsible development.
Key Concepts
- -- Generative AI
- A subfield of AI focused on creating data similar to training datasets, enabling machines to generate various forms of content.
- -- Text Generation AI
- AI models specializing in producing human-like text, commonly used in chatbots and content creation.
- -- Image Generation AI
- AI that generates images based on textual descriptions or examples, useful in digital art and design.
- -- Audio and Music Generation AI
- Tools that create sound, including human speech or original music, used for various applications like voiceovers and composition.
- -- Video Generation AI
- AI that produces animated or realistic video clips from textual or image-based inputs, emphasizing marketing and educational content.
- -- Code Generation AI
- Models that assist in writing and debugging code in programming, enhancing software development processes.
- -- 3D Object and Game Asset Generation AI
- AI that creates 3D models and game environments, pivotal for modern game design and simulations.
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