Solving

Lately, artificial intelligence (AI) has emerged as a practical tool for driving innovation across industries. On the forefront of this progress are large language models (LLMs) known for his or her ability to know...

How I migrated an old solution to a more elegant, robust and scalable solution using text classification from openAIAs mentioned within the previous article, I talked about how I learned the foundations of machine...

A preferred toy in a brave latest worldIn this text we’ll make an AI model that may solve a Rubik’s Cube. We’ll define our own dataset, make a transformer style model that may learn...

Quantum computing has the potential to vary many industries, from cryptography to drug discovery. But scaling these systems is a difficult task. As quantum computers grow, they face more errors and noise that may...

A straightforward example of hill climbing — and solving an issue that’s difficult to resolve without optimization techniquesBetting on the World Series is an old, interesting, and difficult puzzle. It’s also a pleasant problem...

OpenAI's recent model, OpenAI o1 or Strawberry, represents a major advancement in Artificial Intelligence. It builds on the legacy of previous models, resembling OpenAI's GPT series, and introduces enhanced reasoning abilities that deepen problem-solving...

Armed with simulation of all of the possible ways our schedule can throw curveballs at us, I knew it was time to herald some heavy-hitting optimization techniques. Enter genetic algorithms — a natural selection-inspired...

Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode IIIWe proceed our deep dive into Sutton’s great book about RL and here deal with Monte Carlo (MC) methods. These are...