Generative Artificial Intelligence

Generative AI Definition and Capabilities

Generative artificial intelligence (GenAI) is a subfield of AI that uses generative models to create new digital content, including text, images, video, audio, software code, translations, and 3D assets. These models learn patterns and structures from large training datasets and generate outputs in response to inputs, often natural-language prompts. Recent advances in deep learning, especially transformer-based large language models, have significantly expanded the availability and capabilities of generative AI tools. Generative AI can support content creation, software development, healthcare, finance, education, entertainment, marketing, robotics, scientific discovery, and product design. Its capabilities include natural-language generation, image and video synthesis, speech and music production, code generation, data creation, motion planning, and the proposal of mathematical or scientific solutions. However, outputs may be inaccurate or misleading, and the technology raises concerns about deepfakes, cybercrime, copyright, privacy, bias, misinformation, and environmental costs.

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Generative AI Models and Training Data

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