Generative AI

Image, video, audio and content generation.

All AI Fundamentals Machine Learning Deep Learning LLMs & Transformers Generative AI NLP AI Agents Prompting Data & Training Infrastructure Evaluation Safety & Ethics

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D

Diffusion Model

A diffusion model is a generative AI technique that creates new data like images by learning to reverse a gradual noising process applied to training examples.

G

Generative Adversarial Network

A Generative Adversarial Network (GAN) is a machine learning model made of two neural networks that compete against each other to generate realistic new data, such as images or text.

M

Multimodal Model

A multimodal model is a generative AI system that can process and create content across multiple data types, such as text, images, audio, or video, within a single model.

V

Variational Autoencoder

A Variational Autoencoder (VAE) is a neural network that learns a compressed probabilistic representation of data and can generate new similar examples by sampling from that space. It combines autoencoders with variational inference to enable both reconstruction and generation.