Decoder-only architecturesees the input fed as a prompt to the model without recurrence. The output depends on the nature of input that determines the nature of new tokens. Examples are Open AI’s GPT and GPT-2. Bidirectional Auto Regressive Transformer, or BART,is based onnatural language pr...
Decoder only: This class of models is extremely good at generating language and content. Some use cases include story writing and blog generation. Examples of decoder-only architectures include GPT-3 (Generative Pretrained Transformer 3). Encoder-decoder: These models combine the encoder and decoder...
An autoencoder is a neural network trained to efficiently compress input data down to essential features and reconstruct it from the compressed representation.
Similar to GANs, VAEs are generative models based on neural network autoencoders, which are composed of two separate neural networks -- encoders and decoders. They're the most efficient and practical method for developing generative models. A Bayesian inference-based probabilistic graphical model,...
What is an AI model? An AI model is a program that has been trained on a set of data to recognize certain patterns or make certain decisions without further human intervention.Artificial intelligencemodels apply different algorithms to relevant data inputs to achieve the tasks, or output, they...
VAE-CF is a neural network that provides collaborative filtering based on user and item interactions. The training data for this model consists of pairs of user-item IDs for each interaction between a user and an item. The model consists of two parts: the encoder and the decoder. The ...
But how did the model answer my question?It’s a mystery. Here’s how Thompson explains the current state of understanding: “There’s a huge ‘we just don’t know’ in the middle of my explanation. What we know is that it takes your entire question as a sequence of tokens, and at...
Encryption is a method of protecting data and information, making it unreadable without a key. It uses algorithms to encode the data so that it can only be accessed and understood by the intended users. This technology has become increasingly important in recent years as the internet has become...
Unsupervised learning is a machine learning branch for interpreting unlabeled data. Discover how it works and why it is important with videos, tutorials, and examples.
This autoencoder includes an encoder, which encodes the relevant attributes and a decoder, which imposes these attributes onto the target video. Audio deepfakes. For audio deepfakes, a GAN clones the audio of a person's voice, creates a model based on the vocal patterns and uses that AI ...