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docs/guides/mlp_tutorials/llm-inference.md

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@@ -27,7 +27,7 @@ For clarity, we prepend all shell commands with the hostname and any active Pyth
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In theory, we could just go ahead and use the vanilla container image to run some PyTorch code.
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However, chances are that we will need some additional libraries or software.
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For this reason, we need to use some docker commands to build on top of what is provided by Nvidia.
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For this reason, we need to build another image on top of the one provided by Nvidia.
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To do this, we create a new directory for recipes to build containers in our home directory and set up a [Dockerfile](https://docs.docker.com/reference/dockerfile/):
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```console

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