diff --git a/pages/techniques/react.en.mdx b/pages/techniques/react.en.mdx
index c51c222..ec7707f 100644
--- a/pages/techniques/react.en.mdx
+++ b/pages/techniques/react.en.mdx
@@ -89,7 +89,7 @@ We can also observe that ReAct outperforms CoT on Fever and lags behind CoT on H
 
 Prompting methods that combine and support switching between ReAct and CoT+Self-Consistency generally outperform all the other prompting methods. 
 
-## Results on Knowledge-Intensive Tasks
+## Results on Decision Making Tasks
 
 The paper also reports results demonstrating ReAct's performance on decision making tasks. ReAct is evaluated on two benchmarks called [ALFWorld](https://alfworld.github.io/) (text-based game) and [WebShop](https://webshop-pnlp.github.io/) (online shopping website environment). Both involve complex environments that require reasoning to act and explore effectively. 
 
@@ -176,4 +176,4 @@ The output we get is as follows:
 
 We adapted the example from the [LangChain documentation](https://python.langchain.com/en/latest/modules/agents/getting_started.html), so credit goes to them. We encourage the learner to explore different combination of tools and tasks. 
 
-You can find the notebook for this code here: https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/notebooks/react.ipynb
\ No newline at end of file
+You can find the notebook for this code here: https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/notebooks/react.ipynb