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AE                                    VAE
                    Latent Space          Deterministic, fixed-dimensional      Probabilistic, continuous latent space
                    Representation        encoding of input data.               representation, allowing for sampling of
                                                                                data points.
                    Reconstruction Loss   Minimises the difference between  Same as AE but also includes a
                                          the input data and its reconstructed  regulariser to enforce a Gaussian-like
                                          output.                               distribution in the latent space.
                    Handling Overfitting  Can suffer from overfitting due to the  Less prone to overfitting due to the
                                          fixed encoding structure.             probabilistic nature of the latent
                                                                                space, which allows for smoother
                                                                                generalisation.
                    Applications          Image compression, denoising, feature  Data generation, Unsupervised
                                          extraction.                           Learning, anomaly detection.
                    Training Complexity   Relatively simpler training process.  More complex training process due to
                                                                                the inclusion of regularisation terms and
                                                                                sampling from the latent space.



                         Examples of Generative AI


                 Generative AI has many applications, from art and music to language and natural language processing.
                 Let's study some examples of how Generative AI is being used in various fields.


                 Art

                 Generative AI can create new artworks by learning styles from famous painters and generating novel pieces in
                 similar styles. For example:
                    • AI artists like "AI Portraits" and "DeepArt" have gained popularity for their ability to create visually stunning images.
                    • The Next Rembrandt project used data analysis and 3D printing to create a new painting in the style of Rembrandt.

                 Gen AI can be used for style transferring and portrait creation.
                                     Object                    Style












                               Gen AI created an image with a given style






                                                                                        Portrait Creation




                                            Style Transferring


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