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fix a mistake in concepts.md (#5222)

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# fix a mistake in concepts.md


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@ -23,7 +23,7 @@ The results of these actions can then be fed back into the language model to gen
## ReAct
`ReAct` is a prompting technique that combines Chain-of-Thought prompting with action plan generation.
This induces the to model to think about what action to take, then take it.
This induces the model to think about what action to take, then take it.
- [Paper](https://arxiv.org/pdf/2210.03629.pdf)
- [LangChain Example](../modules/agents/agents/examples/react.ipynb)