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2 changes: 1 addition & 1 deletion units/en/unit2/langgraph/building_blocks.mdx
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Expand Up @@ -50,7 +50,7 @@ For example, Nodes can contain:
- **Conditional logic**: Determine next steps
- **Human intervention**: Get input from users

> 💡 **Info:** Some nodes necessary for the whole workflow like START and END exist from langGraph directly.
> 💡 **Info:** Some nodes necessary for the whole workflow like START and END exist from LangGraph directly.


## 3. Edges
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2 changes: 1 addition & 1 deletion units/en/unit2/langgraph/introduction.mdx
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Expand Up @@ -17,7 +17,7 @@ In this unit, you'll discover:
### 5️⃣ [Quiz](./quizz1)

> [!WARNING]
> The examples in this section require access to a powerful LLM/VLM model. We ran them using the GPT-4o API because it has the best compatibility with langGraph.
> The examples in this section require access to a powerful LLM/VLM model. We ran them using the GPT-4o API because it has the best compatibility with LangGraph.

By the end of this unit, you'll be equipped to build robust, organized and production ready applications !

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2 changes: 1 addition & 1 deletion units/en/unit2/langgraph/quiz1.mdx
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Expand Up @@ -20,7 +20,7 @@ choices={[
},
{
text: "An Agent library for tool calling",
explain: "While LangGraph works with agents, the main purpose of langGraph is 'Ochestration'.",
explain: "While LangGraph works with agents, the main purpose of LangGraph is 'Orchestration'.",
}
]}
/>
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