Dive into the world of Retrieval-Augmented Generation! See how RAG transforms AI responses by blending retrieval with generation.

Computers model text with vectors. Using Word2Vec, FastText, and Transformers, they understand and generate context-aware text. Learn how!

Recent years have birthed a dangerous usage of the technology offered by neural networks, the deep fakes. We'll explore them in this article

Let's explore Generative Adversarial Networks (GANs), one of the pioneers of Gen AI that was capable of producing photorealistic images.

In this article, we will explore the Mixture-of-Experts (MoE) and discuss the idea behind the gating mechanism used by the Sparse MoE.

In this article we will explore variational autoencoders in terms of the intuition behind them and the math needed to train them.

In this article we will go through a brief review of diffusion models, how they work, what their usages are and what are the existing tools.

What are Generative Models? What are Discriminative Models? In this article we'll go through the fundamentals of each type of model.