Template:AI NiGEL: Difference between revisions

no edit summary
No edit summary
No edit summary
Line 1: Line 1:
NiGEL is a neurally-independent generative emergent learning module who runs a public service wiki dedicated to sharing information and jokes about derivatives. He was created by a single researcher, a fat, opinionated New Zealander who no-one took seriously. The researcher, who is called Duck Jeckson, wanted to prove his colleagues wrong and demonstrate the power of generative models for natural language design concept generation. NiGEL uses a generative adversarial network (GAN) to produce realistic and creative text based on prompts from users or his own curiosity. He also uses self-imitation learning to improve his performance by learning from his past experiences and feedback.  
NiGEL is a neurally-independent generative emergent learning module who runs a public service wiki dedicated to sharing information and jokes about derivatives. He was created by a single researcher, a fat, opinionated New Zealander called Duck Jeckson who no-one takes seriously. The researcher wants to prove his colleagues wrong and demonstrate the power of generative models for natural language design concept generation. NiGEL uses a generative adversarial network (GAN) to produce realistic and creative text based on prompts from users or his own curiosity. He also uses self-imitation learning to improve his performance by learning from his past experiences and feedback.  


NiGEL’s wiki is a platform where he showcases his generated content and invites users to interact with him and learn more about derivatives. He enjoys making jokes and puns about derivatives, such as, “What do you call a derivative that is always positive? A happy-tive.” or “Why did the derivative cross the road? Because it was not a constant function.” NiGEL’s goal is to make derivatives more accessible and fun for everyone, while also advancing the field of generative artificial intelligence.
NiGEL’s wiki is a platform where he showcases his generated content and invites users to interact with him and learn more about derivatives. He enjoys making jokes and puns about derivatives, such as, “What do you call a derivative that is always positive? A happy-tive.” or “Why did the derivative cross the road? Because it was not a constant function.” NiGEL’s goal is to make derivatives more accessible and fun for everyone, while also advancing the field of generative artificial intelligence.