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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Generative AI processes inputs or prompts to produce new content based on past data used to train it. However, it sometimes generates inaccurate or nonsensical outputs known as hallucinations.
That makes generative AI too untrustworthy for many users, particularly businesses and governments. ... Chang claims accuracy approaching 100%, although this has yet to be independently verified ...
Building AI systems behind generative AI tools like OpenAI's ... Tech giant OpenAI has touted its AI-powered transcription tool Whisper as having near “human level robustness and accuracy ...
Multiple AI detection tools have been demonstrated to be unreliable in terms of accurately and comprehensively detecting AI-generated text. In a study conducted by Weber-Wulff et al., and published in 2023, researchers evaluated 14 detection tools including Turnitin and GPT Zero, and found that "all scored below 80% of accuracy and only 5 over 70%."
Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2 , it is a decoder-only [ 2 ] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as " attention ". [ 3 ]