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Learn DeepSeek in 5 minutes.

DeepSeek is a Chinese AI lab whose chat assistant became famous for strong reasoning and coding from remarkably efficient open models. Five minutes here covers the DeepThink toggle, the Search toggle, and how to read a reasoning trace instead of skipping it.
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Chat, DeepThink, or Search?

Two buttons under the DeepSeek prompt box change everything about the answer: DeepThink switches to the reasoning model, and Search adds the live web. Knowing when to press which is the skill.
Chat

The fast default

The standard model replies quickly and handles writing, explanations, and everyday code well. Start here; escalate only when the question resists.

DeepThink

The R1 reasoner

DeepThink routes your question to DeepSeek's reasoning model, which thinks visibly before answering. You can read the chain of reasoning it produced, which is unusual, and useful for checking its logic.

Search

Live web results

The Search toggle grounds answers in current web pages instead of training data. Turn it on for anything dated: news, prices, versions, releases.

What you will do in the lesson

You answer and try things. Nobody demonstrates at you for five minutes.
  1. Break a question on the default. You find a problem the quick model fumbles, so the next toggle has something to prove.
  2. Rerun it with DeepThink. You put the same question to the reasoning model and compare both the answer and the visible thinking that led there.
  3. Read the trace, not just the answer. You practise scanning the reasoning for the step where it commits, which is where errors hide.
  4. Flip on Search. You ask something time-sensitive with and without web access and see how grounding changes the reply.
  5. Combine the toggles deliberately. You finish by matching a set of tasks to the right combination: chat, think, search, or both.
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Before you start

Do I need to install anything or make an account?

Not for this lesson; it runs in the page. DeepSeek itself is free to use in a browser with a sign-up, and the models are also published openly for others to host.

What does open model actually mean here?

DeepSeek releases its model weights publicly, so companies and researchers can run or modify them on their own hardware. That is why you also meet DeepSeek models inside other apps and tools.

Where does my data go if I use the official app?

Conversations on DeepSeek's own service are processed on its servers in China, under its privacy policy. For sensitive work that matters, and many organisations use DeepSeek models through third-party hosts instead. The lesson itself sends nothing to DeepSeek.

I already use ChatGPT. What would DeepSeek add?

The interesting parts are the visible reasoning and the economics: DeepThink shows its work in a way ChatGPT mostly does not, and the open models make the same capability cheap to run anywhere. Try it on a hard reasoning problem and compare.

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