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2. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Artificial general intelligence – Human-level or stronger AI for a wide range of tasks. Artificial imagination – Artificial simulation of human imagination. Artificial intelligence art – Machine application of knowledge of human aesthetic expressions. Artificial life – Field of study.

3. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   Meta AI (formerly Facebook) also has a generative transformer-based foundational large language model, known as LLaMA. [43] Foundational GPTs can also employ modalities other than text, for input and/or output. GPT-4 is a multi-modal LLM that is capable of processing text and image input (though its output is limited to text). [44]

4. Generative adversarial network - Wikipedia

   en.wikipedia.org/wiki/Generative_adversarial_network

   A generative adversarial network ( GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [1] [2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3] In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain ...

5. Generative AI is getting kicked off its pedestal - AOL

   www.aol.com/finance/generative-ai-getting-kicked...

   Generative AI startups with little to no revenue have to constantly scrounge for massive funding rounds to stay afloat. Fortune 500 companies can’t put generative AI use cases into production ...

6. Powered by Nvidia and AI, humanoid ambitions take shape - AOL

   www.aol.com/finance/powered-nvidia-ai-humanoid...

   Nearly a decade later, generative AI is accelerating that learning curve, pushing human-like machines to pick up new tasks in real time. ... “Before, when we used to do an AI model for doing a ...

7. Generative artificial intelligence (AI) powered ...

   files.eric.ed.gov/fulltext/EJ1389644.pdf

   • Generative AI is capable of mastering one of the most sophisticated soft human technologies, that is, language. • Generative AI's comprehension is limited to patterns and structures learned from training data, which may result in imperfect outputs. • While humans learn and reason, machines are indeed trained, and they predict.