Getting Started with AI
Start with a small task whose result you can check yourself.
Choose a task, explain it clearly and check the answer
Recommended reading
How to Choose Your First AI Task: Start Small, Low-Risk, and Reviewable
Use four criteria to choose a small task whose result you can review.
All articles
- AI ConceptsTransformer Explainer Tutorial: 3 Exercises for Tokens and TemperatureLearn how to use Transformer Explainer with three GPT-2 exercises. Compare token boundaries, context and temperature while keeping sampling conditions controlled.
- ChatGPT & Codex BasicsCodex Tutorial for Beginners: From Choosing an Interface to Finishing Your First TaskChoose a Codex interface, prepare a local folder, and turn fictional feedback into a checked handoff table. Includes practice files and translations of verified Chinese outputs.
- AI ConceptsLLMs Are Not Knowledge Bases: Why Next-Token Prediction Can Produce Confidently Wrong AnswersUnderstand why fluent LLM output is not factual verification, and when AI applications need external data, retrieval, tools, validation, permissions, or human review.
- AI ConceptsTransformer Without the Math: What Attention and Embeddings Actually DoUnderstand Attention, Embeddings, and KV Cache without deriving matrices. Connect context, semantic search, RAG, and inference cost for AI application engineering.
- AI ConceptsWhat Exactly Is an AI Agent? From Chatbots to Closed-Loop Decision SystemsLearn why an AI Agent is more than an LLM with tools, and how Goal, State, Observation, Decision, Action, and Feedback form a closed-loop system.
- ChatGPT & Codex BasicsHow to Complete Your First Reviewable Task With CodexComplete your first Codex task with safe source material, a bounded request, and a review checklist that lets you verify every important result.
- Prompts & TasksShould You Add Context, Examples, or a Reference Format?Diagnose why an AI result missed the mark, then add only the context, examples, or reference format that solves the specific gap.