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Frequently asked questions
Generative AI is a type of artificial intelligence (AI) that often uses generative adversarial networks (GANs) to create realistic and original content. OpenAI’s ChatGPT falls into this category.
Learn more about Sitecore’s generative AI approach here.
Artificial intelligence is a branch of computer science broadly focused on creating artificially intelligent systems capable of mirroring the human mind and replicating human intelligence. Examples of AI systems include expert systems, image recognition, natural language processing and speech recognition.
Deep learning is a training method for AI systems. Deep learning is modelled on the human brain. It teaches computers to recognize complex patterns and then use those patterns to produce more accurate results.
Artificial general intelligence (AGI) describes a machine that can truly think like a human being. Also known as strong AI, these systems have the potential to replicate human intelligence. This is the science fiction version of AI, the kind that would pass the Turing Test (named after Alan Turing who originally conceived of the concept) and does not yet exist, though breakthroughs in AI research continue.
Narrow AI, also known as specialized AI, is an AI system designed for a specific task, such as a self-driving car, other autonomous vehicles, or an email spam filter.
A Large Language Model (LLM) is a type of algorithm within the generative AI ecosystem. They use enormous data sets and deep learning to generate text that looks identical or very similar to text written by humans.
Amazon’s Alexa, Apple’s Siri, and IBM Watson all use natural language processing.