Types of Gen AI Flashcards
Types
Generative adversarial networks
Variational autoencodes
Autoregressive models
Recurrent neutral networks
Transformer-based models
Reinforcement learning for generative tasks
Generative adversarial networks
Using two neural networks to generate new systhetic data
Variational autoencodes
Learn to encode and decode data, generating new samples from
learned distributions
Autoregressive models
Generates data sequentially, using previously generated elements as content
Recurrent neutral networks
Process sequential data, with applications in generative tasks
Transformer-based models
Utilize attention mechanisms for generating coherent content
Reinforcement leaning for generative tasks
Uses feedback to improve data generation quality