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Part I: Game concepts and Causal Graphs for LLMsA number of months ago, I used to be debating with a friend concerning the use of Large Language Models (LLMs) in game design.My friend argued...

Solving XOR gate problem— using just NumPy, then compare with PyTorch implementation.Outline・Introduction to the XOR Gate Problem・Constructing a 2-Layer Neural Network・Forward Propagation・Chain Rules for Backpropagation・Implementation with NumPy・Comparing Results with PyTorch・Summary・ReferencesIntroduction to the XOR Gate...

Learn critical knowledge for constructing AI apps, in plain englishRetrieval Augmented Generation, or RAG, is all the craze nowadays since it introduces some serious capabilities to large language models like OpenAI’s GPT-4 — and...

“It’s cool work,” says Matthew Gudzial, an AI researcher on the University of Alberta, who developed a similar game generator just a few years ago.  Genie was trained on 30,000 hours of...

Gain a deeper understanding of Gaussian processes by implementing them with only NumPy.Gaussian Processes (GPs) are an incredible class of models. There are only a few Machine Learning algorithms that offer you an accurate...

From Text to Tokens: Your Step-by-Step Guide to BERT TokenizationBy the point you finish reading this text, you’ll not only understand the ins and outs of the BERT tokenizer, but you’ll even be equipped...

An introduction to Q-Learning with a practical Python exampleThe agent is the one selecting the course of actions. In the instance, the agent is the player who controls the joystick deciding the following move...

// Importing required librariesimport numpy as np// Preparing datasetx = np.array(,,])y = np.array(,,])// Defining the activation function# Activation function # Here we have now used sigmoid function that provides the output between 0 and...