LearnAI
Новинки AI · «Думающие» модели · Lesson 1/10
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Task

What is a “thinking” model

Explain to a friend in simple words. Return JSON {"definition":"what is a reasoning model in 1-2 sentences","difference":"how it differs from a regular model","example_task":"an example of a problem where a thinking model is really needed"}

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Understand the essence of reasoning
💡 A piece of theory

The usual model works like an advanced autocompleter: it predicts the next word based on the previous ones and gives the answer right away. This is great for something simple - rewriting a letter, explaining a term. The reasoning model (“thinking”) first writes itself a draft reasoning: it breaks the problem into steps, checks the moves, discards dead ends - and only then answers. Analogy: a regular model answers without thinking, like in a quick quiz; the thinking person solves the problem on a piece of paper, like on a math test. Under the hood, it spends more “internal” words and time, but it pulls out multi-step logic where the usual one stumbles. Leverage: the more steps, conditions and pitfalls in a problem, the greater the gain from reasoning. Insider: a thinking model is not “smarter with facts”, it is more careful in the chain of conclusions; asking a one-clap question will only waste her time. A typical beginner mistake is to turn on the “heavy” model for everything and be surprised at the delays. The rule is simple: complex logic is thinking, simple text is ordinary.

How is it assessed · passing 70

  • 1Valid JSON without text around it25%
  • 2The required fields are there25%
  • 3No extra water10%
  • 4The essence is explained correctly40%
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