Generative Artificial Intelligence (AI) Algorithm
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A Generative Artificial Intelligence (AI) Algorithm is an [AI algorithm]] that generates new data or patterns based on the data it has been trained on.
- AKA: Generative AI Algorithm, Data Generation Algorithm.
- Context:
- It can be implemented by a GenAI System to perform GenAI tasks.
- It can be related to specific subsets of Machine Learning (ML) Algorithm, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
- It can (often) require high computational resources for Training and Inference.
- It can be leveraged for creative applications like Art Generation, Music Composition, and Content Creation.
- It can pose challenges in terms of Ethical Considerations like data authenticity and copyright.
- …
- Example(s):
- A Generative Adversarial Network (GAN) for generating realistic images.
- A Language Model for generating human-like text.
- A Markov Chain for generating sequences based on probability.
- A Variational Autoencoder (VAE) for generating similar but distinct data points.
- …
- Counter-Example(s):
- A Classification Algorithm.
- A Reinforcement Learning Algorithm that doesn't generate data.
- A Heuristic Search Algorithm.
- See: Generative AI Model.