#machine-learning
What is Generative AI?
You’ve probably used ChatGPT, asked Copilot to write some code, or generated an image with DALL-E. But what’s actually happening under the hood? In this tutorial, we’ll break down what Generative AI is, how it differs from traditional AI, and why it matters for developers. AI, Machine Learning, and Generative AI Before diving into Generative AI specifically, it helps to understand where it sits in the broader AI landscape. Artificial Intelligence (AI) is the broad field of building systems that can perform tasks that typically require human intelligence — things like recognizing speech, making decisions, or translating languages. Read more →
March 28, 2026
How LLMs Work
In What is Generative AI?, we covered the big picture of GenAI and where Large Language Models fit in. Now let’s go a level deeper. How does an LLM actually generate text? What’s happening when ChatGPT or Claude “thinks” about your question? You don’t need a PhD in machine learning to understand this. We’ll walk through the core ideas — transformers, attention, and next-token prediction — with enough depth to make you a more effective developer when working with these models. Read more →
March 28, 2026
Embeddings & Vector Search
So far in this series, we’ve focused on LLMs that generate text. But there’s another fundamental capability that powers many AI applications: embeddings. Embeddings let you convert text into numbers that capture meaning, making it possible to search, compare, and cluster content based on what it means rather than what words it contains. This is the technology behind semantic search, recommendation systems, and RAG (Retrieval-Augmented Generation) — which we’ll cover later in this series. Read more →
March 28, 2026
Fine-Tuning vs RAG vs Prompt Engineering
You’ve built a prototype with an LLM and it works pretty well, but the model doesn’t know about your company’s products, it sometimes gets the tone wrong, or it hallucinates facts about your domain. How do you fix that? There are three main approaches to customizing LLM behavior: prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning. Each solves different problems, and choosing the wrong one wastes time and money. This tutorial breaks down when to use each. Read more →
March 28, 2026
Generative AI Tutorials
Learn Generative AI from the ground up. Understand LLMs, prompt engineering, RAG, AI agents, and how to build AI-powered applications. Read more →
March 28, 2026