An autoencoder is composed of three parts: an encoder, a bottleneck (also known as the latent space or code), and a decoder. These components work together to capture the key features of the input data and use them to generate accurate reconstructions. Autoencoders optimize their output by ...
What is Transformer Model in AI? Features and Examples by Shreya Mattoo / January 2, 2025Table of Contents Transformer model types How does transformer model work? Encoder in transformer model Decoder in transformer model Self-attention in transformer model RNNs vs. LSTMs. vs. transformers Trans...
Autoencoders have two main parts: an encoder and a decoder. The encoder maps the input into code and the decoder maps the code to a reconstruction of the input. The code is sometimes considered a third part as “the original data goes into a coded result, and the subsequent layers of ...
Here’s a rundown of some of the most important generative AI model innovations: Variational autoencoders (VAEs) use innovations in neural network architecture and training processes and are often incorporated into image-generating applications. They consist of encoder and decoder networks, each of ...
Here’s a rundown of some of the most important generative AI model innovations: Variational autoencoders (VAEs) use innovations in neural network architecture and training processes and are often incorporated into image-generating applications. They consist of encoder and decoder networks, each of ...
As noted, basic generative AI models consist of an encoder and a decoder. The encoder transforms text, code, images and other prompts into a format AI can process. Thisintermediate representationcould be a vector embedding or a probabilistic latent space. The decoder generates content by transformi...
Another method isAI algorithmscalled encoders, which are used in face-replacement and face-swapping technology. The decoder retrieves and swaps images of faces, which enables one face to be superimposed onto a completely different body. Deepfakes use autoencoders, which go beyond the compression ...
The Transformer model consists of two main components: the encoder and the decoder. The encoder processes the input sequence while the decoder generates the output sequence. As we mentioned earlier, a good example of a Transformer-based model is the GPT-3 language model, which can generate coher...
Theencoderanddecoderblocks in a transformer model include multiple layers that form the neural network for the model. We don't need to go into the details of all these layers, but it's useful to consider one of the types of layers that is used in both blocks:attentionlayers. Attention is...
So, what is generative AI? How does it work? And most importantly, how can it help you in your personal and professional endeavors? This guide takes a deep dive into the world of generative AI. We cover different generative AI models, common and useful AI tools, use cases, and the adva...