Learning path

Newcomer foundations: the tools, the labs, the core ideas

New to AI and wondering where to start? This path introduces the most-used AI assistants, the companies building them, and the key ideas that make them work — in the order that makes each step easier to understand. No background required; just read one after the other.

Beginner7 steps~42 min

7 steps

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ChatGPT
Start here: ChatGPT is the tool that brought AI assistants into everyday life, and understanding what it is gives you a concrete anchor for everything that follows.
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OpenAI
Now meet the lab behind ChatGPT — knowing who OpenAI is and what they're trying to do puts the product in context.
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Anthropic
A second major lab with a different philosophy — reading about Anthropic shows that there's more than one approach to building AI.
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Claude
Claude is Anthropic's assistant, so this step connects the lab you just read about to the product it ships.
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Reinforcement Learning from Human Feedback
This is the training technique that turns a raw language model into a helpful, well-behaved assistant — the key step behind both ChatGPT and Claude.
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Chain-of-Thought Reasoning
One of the most important ideas in how modern AI reasons: letting the model think through a problem step by step before answering.
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Retrieval-Augmented Generation
Finish with RAG — the technique that lets AI assistants pull in outside information, bridging the gap between a model's training and the real world.
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ChatGPT

OpenAI

Anthropic

Claude

Reinforcement Learning from Human Feedback

Chain-of-Thought Reasoning

Retrieval-Augmented Generation