A.I. Generated Blogs, Summaries and Images: "Magic Docs"

With Konch's Magic Docs product, users can generate entire essays, short paragraphs, essay outlines, and even unique one-of-a-kind images. 

Like the image above and the summaries, unedited, below:

How we create content:
GPT content generates unique text by using a variety of algorithms to generate new content that is not found elsewhere on the internet. This content is then checked against a database of billions of documents to ensure that it is not plagiarized. The GPT system is constantly learning and improving its algorithms to create better and more unique content.

How we create images:
There are a few different ways A.I. is able to generate unique images. One way is by using a generative adversarial network (GAN). A GAN consists of two parts: a generator and a discriminator. The generator creates images, and the discriminator tries to guess if the images are real or fake. As the generator gets better at creating images, the discriminator gets better at guessing, and vice versa. This back-and-forth between the two parts of the network eventually leads to the generator creating realistic-looking images.Another way is by using a Variational Autoencoder (VAE). A VAE is similar to an autoencoder, which is a neural network that learns to compress data and then decompress it again. A VAE, however, adds a little bit of randomness to the compression process, which results in the VAE being able to create new data that is similar to the data it was trained on.