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by Jerrrry
1290 days ago
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>Finally, we could also use machine learning algorithms to train a model to identify responses generated by ChatGPT based on these and other characteristics. whatever your idea (i skimmmed cuz) the discriminator will find it and have the generator apply it to the next generation. >The core idea of a GAN is based on the "indirect" training through the discriminator, another neural network that can tell how "realistic" the input seems, which itself is also being updated dynamically.[5] This means that the generator is not trained to minimize the distance to a specific image, but rather to fool the discriminator. This enables the model to learn in an unsupervised manner. https://en.wikipedia.org/wiki/Generative_adversarial_network |
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