
How Large Language Models Learn, Part 2
In Part 1 of this series we explored the friendly foundations of machine learning: Classification Regression Clustering Neural networks Training Testing Overfitting Decision trees Reinforceme

As a cloud solutions architect, I often get asked about the best way to design a secure and compliant cloud architecture, especially when dealing with sensitive data like health records. In this blog post, I'll walk you through a recent project where...

Welcome to the fascinating world of AI image generation! In this chapter, we will pull back the curtain on how artificial intelligence transforms simple text prompts into vibrant, complex, and often surprising images. Understanding this process is no...

Hey everyone, Roberto here! 👋 Have you ever wondered how fast the world's population is growing? It's a fascinating question! I recently built a small project to track this in real-time, and along the way, I got to explore an amazing tool called Mic...

By Roberto In this post, we'll explore how to automate the creation of a Windows 11 Virtual Machine in Azure's Mexico region using a combination of GitHub Actions and Bicep. This powerful duo enables us to define our infrastructure as code, ensuring ...

Welcome to one of the most powerful and intuitive techniques in prompt engineering: Role Prompting. By mastering this skill, you can transform a generalist AI assistant into a team of specialized experts, each ready to tackle your specific needs with...

Introduction Welcome to the inner workings of Large Language Models! In this chapter, Trufa will guide Paula (and you) through the fascinating world of how LLMs actually work. We'll demystify the "black box" and explore the fundamental concepts that ...