delete aihub readme under executorch/examples/qualcomm/README.md

Author: winskuo-quic

examples/qualcomm/README.md

@@ -9,8 +9,7 @@ We have separated the example scripts into the following subfolders, please refe
 2. oss_scripts: OSS stands for Open Source Software. This folder contains python scripts for open source models. Some models under this folder might also have their own customized runner.
    For example, [llama](oss_scripts/llama/qnn_llama_runner.cpp) contains not only the python scripts to prepare the model but also a customized runner for executing the model.
 
-3. qaihub_scripts: QAIHub stands for [Qualcomm AI Hub](https://aihub.qualcomm.com/). On QAIHub, users can find pre-compiled context binaries, a format used by QNN to save its models. This provides users with a new option for model deployment. Different from oss_scripts & scripts, which the example scripts are converting a model from nn.Module to ExecuTorch .pte files, qaihub_scripts provides example scripts for converting pre-compiled context binaries to ExecuTorch .pte files. Additionally, users can find customized example runners specific to the QAIHub models for execution. For example [qaihub_llama2_7b](qaihub_scripts/llama/llama2/qaihub_llama2_7b.py) is a script converting context binaries to ExecuTorch .pte files, and [qaihub_llama2_7b_runner](qaihub_scripts/llama/llama2/qaihub_llama2_7b_runner.cpp) is a customized example runner to execute llama2 .pte files. Please be aware that context-binaries downloaded from QAIHub are tied to a specific QNN SDK version.
-Before executing the scripts and runner, please ensure that you are using the QNN SDK version that is matching the context binary. Please refer to [Check context binary version](#check-context-binary-version) for tutorial on how to check the QNN Version for a context binary.
+
 
 4. scripts: This folder contains scripts to build models provided by ExecuTorch.