MyElectricSparks.com
March 11, 2023
It creates data using algorithms, discriminative AI identifies differences. Examples: ChatGPT, DALL-E. Limitations include "too many fingers" in artificial art.
Canva
Recent advances in Generative AI, like ChatGPT, DALL-E, and Stable Diffusion, have gained attention for creating human-like text and images.
Canva
Generative AI processes data to determine likely associations, responding to prompts within that probability; ChatGPT and DALL-E are advanced examples.
venturebeat
It is trained through techniques like transformers and generative adversarial networks to create realistic output.
appen
Transformers understand semantic relationships, while GANs have algorithms compete to create the best output.
appen
Yes it is Sensitive because it uses complex mathematics and coding to process vast amounts of data and create human-like text and images.
adweek
ChatGPT can answer riddles correctly based on its training set, but it doesn't understand them logically.
msudenver
It generates output based on predictions of what should follow a question. If you ask it if two pounds of feathers are heavier than a pound of lead, it will confidently tell you they weigh the same, based on its training.
adexchanger
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