LLM Basics

How large language models work: tokens, context, hallucinations, RAG and more.

What Is a Large Language Model (LLM)? A Clear Guide

What is an LLM? A clear guide to large language models: how they learn from text, what they can and can't do, and how they power chatbots and AI agents.

6 min read

AI Hallucination: Why AI Makes Things Up and How to Reduce It

What is an AI hallucination? Learn why language models invent facts, how to spot it, and practical ways to reduce hallucinations in chats and AI agents.

5 min read

How Do LLMs Work? A Simple Explanation Without the Math

How do LLMs work? A plain explanation of tokens, training, attention and next-token prediction, with no math, plus what it means for using AI tools well.

6 min read

LLM Temperature, Top-p and Other Settings Explained Simply

What does LLM temperature do? A simple guide to temperature, top-p, max tokens, stop sequences and system prompts, and which settings to use for each task.

6 min read

Open vs Closed AI Models: Open Source LLMs Explained

Open source LLM or closed model? Learn what open-weight really means, why licenses vary, and the trade-offs in privacy, cost, quality and control.

5 min read

RAG vs Fine-Tuning: Which One Do You Actually Need?

RAG vs fine tuning, explained simply: what each one changes, what it costs in effort, and how to pick the right approach for your AI project.

6 min read

Tokens and Context Windows Explained: A Simple LLM Guide

What is a context window? Learn what tokens are, how LLMs count them, why context limits matter, and practical ways to work within them for better results.

6 min read

What Are Embeddings? How AI Understands Meaning in Text

What are embeddings? A plain guide to how AI turns words into numbers that capture meaning, and how embeddings power semantic search, RAG and AI agents.

6 min read

What Are Reasoning Models and When Should You Use One?

Reasoning models think through a problem before answering. Learn how they differ from standard LLMs, when they help, and when a faster model is better.

5 min read