fix examples/llm/README.md syntax (#10294)

Author: puririshi98

examples/llm/README.md

@@ -2,7 +2,7 @@
 
 | Example                                      | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
 | -------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| [`g_retriever.py`](./g_retriever.py)         | Example for Retrieval-Augmented Generation (RAG) w/ GNN+LLM by co-training `LLAMA3` with `GAT` for answering questions based on knowledge graph information from the toy WebQSP dataset. We also have an [example repo](https://github.com/neo4j-product-examples/neo4j-gnn-llm-example) for integration with [Neo4j Graph DBs][neo4j.com] along with an associated [blog](https://developer.nvidia.com/blog/boosting-qa-accuracy-with-graphrag-using-pyg-and-graph-databases/) showing 2x accuracy gains over LLMs on real medical data. |
+| [`g_retriever.py`](./g_retriever.py)         | Example for Retrieval-Augmented Generation (RAG) w/ GNN+LLM by co-training `LLAMA3` with `GAT` for answering questions based on knowledge graph information from the toy WebQSP dataset. We also have an [example repo](https://github.com/neo4j-product-examples/neo4j-gnn-llm-example) for integration with [Neo4j Graph DBs](neo4j.com) along with an associated [blog](https://developer.nvidia.com/blog/boosting-qa-accuracy-with-graphrag-using-pyg-and-graph-databases/) showing 2x accuracy gains over LLMs on real medical data. |
 | [`g_retriever_utils/`](./g_retriever_utils/) | Contains multiple scripts for benchmarking GRetriever's architecture and evaluating different retrieval methods.                                                                                                                                                                                                                                                                                                                                                                                                                          |
 | [`multihop_rag/`](./multihop_rag/)           | Contains starter code and an example run for building a Multi-hop dataset using WikiHop5M and 2WikiMultiHopQA                                                                                                                                                                                                                                                                                                                                                                                                                             |
 | [`nvtx_examples/`](./nvtx_examples/)         | Contains examples of how to wrap functions using the NVTX profiler for CUDA runtime analysis.                                                                                                                                                                                                                                                                                                                                                                                                                                             |