Use Streamline to analyze LLM runing on CPU with llama.cpp: Ready for push to arm learning path repo

Author: zenonxiu81

content/learning-paths/servers-and-cloud-computing/llama_cpp_streamline/Conclusion.md

@@ -9,5 +9,5 @@ layout: learningpathall
 # Conclusion 
 By leveraging the Streamline tool together with a good understanding of the llama.cpp code, the execution process of the LLM model can be visualized, which helps analyze code efficiency and investigate potential optimization.
 
-Note that addtional annotation code in llama.cpp and gatord might somehow affect the performance.
+Note that addtional annotation code in llama.cpp and gatord might somehow affect the performance.