removed Llama references

Author: s-polly

articles/machine-learning/how-to-use-serverless-compute.md

@@ -56,9 +56,6 @@ Serverless compute can be used to fine-tune models in the model catalog. Serverl
 * You can use serverless compute for responsible AI dashboard:
   * [AutoML Image Classification scenario with RAI Dashboard](https://github.com/Azure/azureml-examples/blob/main/sdk/python/responsible-ai/vision/responsibleaidashboard-automl-image-classification-fridge.ipynb) 
 
-* You can explore serverless fine-tune of foundation models using these notebooks:
-  *  [Fine Tune LLAMA 2](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/system/finetune/Llama-notebooks/text-classification/emotion-detection-llama-serverless-compute.ipynb)
-  *  [Fine Tune LLAMA 2 using multiple nodes](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/system/finetune/Llama-notebooks/multinode-text-classification/emotion-detection-llama-multinode-serverless.ipynb)
 
 ## Performance considerations
 
@@ -470,5 +467,4 @@ inputs:
 
 View more examples of training with serverless compute:
 * [Quick Start](https://github.com/Azure/azureml-examples/blob/main/tutorials/get-started-notebooks/quickstart.ipynb)
-* [Train Model](https://github.com/Azure/azureml-examples/blob/main/tutorials/get-started-notebooks/train-model.ipynb)
-* [Fine Tune LLAMA 2](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/system/finetune/Llama-notebooks/text-classification/emotion-detection-llama-serverless-compute.ipynb)
+* [Train Model](https://github.com/Azure/azureml-examples/blob/main/tutorials/get-started-notebooks/train-model.ipynb)