What Is an LLM? The Clearest Explanation for Builders
A practical, beginner-friendly explanation of large language models covering tokens, training, next-token prediction, context, hallucinations, and simple code examples.
Jul 4, 202611 min read37
Command Palette
Search for a command to run...
Series
90 Days of AI: From Curious Noob to Confident Builder
A daily, no-fluff AI learning series for curious beginners, builders, and developers who want to understand modern AI without getting trapped in jargon soup.
Over 90 days, we’ll break down AI basics, LLMs, generative AI, agents, tools, workflows, prompt engineering, automation, real-world examples, and practical code in a simple, visual, and slightly humorous way.
By the end, you won’t just know the buzzwords. You’ll understand what they mean, why they matter, and how to actually use them.
No PhD required. No boring lectures. Just signal, examples, and tiny brain upgrades every day.
Generative AI vs Traditional AI: Same Family, Different Superpowers
Compare predictive AI, rule-based systems, and generative models with practical examples.
Jul 11, 20266 min read
Why AI Suddenly Feels Everywhere in 2026
Cover adoption, better models, cheaper inference, enterprise pilots, and AI moving from novelty to workflow.
Jul 11, 20266 min read
Prompt Engineering Is Not Dead, It Just Got a Real Job
Move beyond clever prompts into context design, constraints, examples, and output validation.
Jul 11, 20266 min read
Context Engineering: The Skill Behind Better AI Outputs
Explain how files, docs, examples, memory, and tool results shape model behavior.
Jul 11, 20266 min read
Tokens Are the New Compute Meter: Why AI Costs Feel Weird
Explain input tokens, output tokens, context size, caching, and why long answers cost more.
Jul 11, 20266 min read