Generative AI 4: Variational Autoencoders (VAEs)
Variational Autoencoders (VAEs) are a type of generative model that learns a probability distribution over the latent space of the data and can generate new,...
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Generative AI 3: Transformer Networks and Large Language Models (LLMs)
Transformers are the foundation of modern Large Language Models (LLMs) such as GPT-3, BERT, and T5. In this step, we will explore the transformer architectur...
Simple Neural Network in Python with Math behind it
Neural networks are one of the most powerful tools in machine learning, capable of recognizing patterns, classifying images, and even generating text. But wh...
Generative AI 2: Neural Networks
A neural network is a computational model inspired by the way biological neural networks work. It is composed of layers of neurons (nodes), which are connect...
Generative AI 1.4: Optimization Techniques
Optimization refers to the process of finding the best parameters for a model to minimize (or maximize) some objective function, typically the loss function ...