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Frequently asked questions Expand All Collapse All What’s the difference between GenAI and AI?
AI is a term that describes all forms of machine learning and intelligent automation, while generative AI is specifically focused on the creation of new content based on—but also capable of going beyond—the datasets it was provided with during its training phase. With the recent advent of widely available chat AIs, most AI interactions for the average user actually involve generative AI.
What is generative AI?
Generative AI, also known as GenAI, is a type of artificial intelligence that creates realistic content by learning from existing data. GenAI can provide realistic and creative text, images, and other media to transform industries such as entertainment, marketing, and healthcare.
What are the types of generative AI?
Generative AI encompasses several types of content generation. These include: text generation, image generation, video and speech generation, and data augmentation. Producing text content requires a different approach than enhancing videos or creating realistic looking images. As such, each type of generative AI has its own unique characteristics and applications.
What is the future of generative AI?
Although generative AI has been around for decades, its recent rise in terms of capability and availability has been meteoric. As this technology continues to evolve, we can anticipate enhanced creativity and innovation across essentially every industry, allowing for more sophisticated and realistic outputs in content generation, design, music composition, visual arts, and more. Generative AI will also continue to drive personalisation and customisation, creating laser-focused recommendations, personalised experiences, and unique products designed to address individual customer needs.
What is machine learning?
Machine learning, a type of AI, uses a data analysis method that automates model building by gathering and interpreting large sets of data. Using machine learning solutions to build precise models empowers organisations to analyse extremely large, complex data sets, delivering faster, more-accurate results at scale. With machine learning, businesses enjoy detailed insight into opportunities, risks, and customer needs.
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