What is Generative AI? How does it relate to AI, ML, and DL?

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What is AI?

All technologies that enable machines to mimic human intelligence

What is ML?

Most Popular AI application, allows a machine to learn and improve from past experience.

Deep Learning(DL)?

The most powerful ML method, based on the layers in artificial neural networks that replicate the human brain?

Generative AI(Gen AI)?

A deep learning technique that is capable of generating text, images, or other media, using models that learn the patterns and structure of their input training data and then generate new data that has similar characteristics.

Here are the core Generative AI (Gen AI) Technologies :

1. Generative Adversarial Networks (GANs): GANs consist of two neural networks, a generator, and a discriminator, trained adversarially to create realistic outputs, often used for image synthesis.
2. Generative Pre-trained Transformers (GPT): GPT models, developed by OpenAI, are language models that use transformer architecture and are pre-trained on large datasets to generate human-like text.
3. Variational Autoencoders (VAEs): VAEs are generative models that learn to encode and decode data, often used for tasks like image generation and representation learning.
4. Conditional Variational Autoencoders (CVAEs): These models extend VAEs by introducing conditional inputs, allowing for more controlled generation of specific outputs.
5. Autoencoders: While not exclusively generative, autoencoders can be used to generate new data by learning efficient representations of input data.