The NLP Student ⁽⁷⁾

Welcome! In this article, we will be going over the fundamentals of reinforcement learning. We will discuss what reinforcement learning is, how agents learn from rewards and experiences, what policies and value functions are, and how to model environments in a Markov decision process step-by-step.

Welcome! In this article, we will be going over what a Transformer is, the intuition and the inner workings behind the attention mechanism it employs to process sequential data, and how the Multi-Head Attention mechanism works as implemented by the paper 'Attention is all you…