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typo fix in examples/llm/readme (#10524)
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examples/llm/README.md

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| Example | Description |
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| [`g_retriever.py`](./g_retriever.py) | Example helper functions for how to use the [G-retriever](https://arxiv.org/abs/2402.07630) GNN+LLM module in PyG. 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. See examples/llm/txt2kg_rag.py for e2e pipeline in PyG including: KG Creation, Subgraph Retrieval, GNN+LLM Finetuning, Testing, LLM Judge Eval. |
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| [`g_retriever.py`](./g_retriever.py) | Example helper functions for how to use the [G-retriever](https://arxiv.org/abs/2402.07630) GNN+LLM module in PyG. 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. See examples/llm/txt2kg_rag.py for e2e pipeline in PyG including: KG Creation, Subgraph Retrieval, GNN+LLM Finetuning, Testing, LLM Judge Eval. |
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| [`nvtx_examples/`](./nvtx_examples/) | Contains examples of how to wrap functions using the NVTX profiler for CUDA runtime analysis. |
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| [`molecule_gpt.py`](./molecule_gpt.py) | Example for MoleculeGPT: Instruction Following Large Language Models for Molecular Property Prediction. Supports MoleculeGPT and InstructMol dataset |
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| [`glem.py`](./glem.py) | Example for [GLEM](https://arxiv.org/abs/2210.14709), a GNN+LLM co-training model via variational Expectation-Maximization (EM) framework on node classification tasks to achieve SOTA results |

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