Intro to AI
Plain-language explainers on how modern AI actually works — no math required.
What Is AI, Really?
How machine learning flips traditional programming, why nobody programs “cat”, and where you already use AI every day.
Tip #005Your AI Has Creativity Dials: Temperature, Top-K & Top-P
How temperature, top-k, and top-p sampling actually work, when to turn each dial, and what replaced them on the newest models.
Tip #006The System Prompt Is the Director’s Notes
Why the system prompt is the highest-leverage “code” in any AI feature — plus the caching trick that makes a frozen prompt ~90% cheaper.
Tip #007Your AI Is What It Eats: Why Data Quality Beats Size
Frontier models throw away ~99% of the text they collect. Why quality, diversity, and quantity — in that order — decide what a model can do.
Tip #008AI Learns Like a Toddler: The Training Loop
How language models actually learn: guess the next word, check, nudge billions of dials, repeat — and why a trained model is frozen.
Tip #009How Chatbots Get Their Manners: Fine-Tuning in Three Steps
How supervised fine-tuning, human preference ranking, and RLHF turn a raw next-word predictor into a helpful assistant.
Tip #010The AI Onion: AI vs. ML vs. Deep Learning vs. Generative AI
AI, machine learning, deep learning, and generative AI are nested layers, not synonyms — and how to spot which one a product uses.