correct the link to 2023 LLM inference traces

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Haoran Qiu 2024-05-01 09:40:31 -05:00 коммит произвёл GitHub
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@ -15,7 +15,7 @@ We provide the traces as they are, but are willing to help researchers understan
* Traces ([2019](https://github.com/Azure/AzurePublicDataset/blob/master/AzureFunctionsDataset2019.md)) for the paper "Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider" (ATC'19)
* Traces ([2020](https://github.com/Azure/AzurePublicDataset/blob/master/AzureTracesForPacking2020.md)) for the paper "Protean: VM Allocation Service at Scale" (OSDI'20)
* Traces ([2020](https://github.com/Azure/AzurePublicDataset/blob/master/AzureFunctionsBlobDataset2020.md)) for the paper "Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications" (SoCC'21)
* Traces ([2023](https://github.com/Azure/AzurePublicDataset/blob/master/AzureFunctionsBlobDataset2020.md)) for the paper "Splitwise: Efficient generative LLM inference using phase splitting" (ISCA'24)
* Traces ([2023](https://github.com/Azure/AzurePublicDataset/blob/master/AzureLLMInferenceDataset2023.md)) for the paper "Splitwise: Efficient generative LLM inference using phase splitting" (ISCA'24)
## VM Traces