Update doc from commit de75686

pytorch · Jan 9, 2025 · 1d084bd · 1d084bd
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@@ -186,9 +186,9 @@ doc will talk about the device independent bits of multi-host training
 and will use the TPU + PJRT runtime(currently available on 1.13 and 2.x
 releases) as an example.
 
-Before you being, please take a look at our user guide at
+Before you begin, please take a look at our user guide at
 [here](https://cloud.google.com/tpu/docs/run-calculation-pytorch) which
-will explain some Google Cloud basis like how to use `gcloud` command
+will explain some Google Cloud basics like how to use `gcloud` command
 and how to setup your project. You can also check
 [here](https://cloud.google.com/tpu/docs/how-to) for all Cloud TPU
 Howto. This doc will focus on the PyTorch/XLA perspective of the Setup.

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@@ -593,9 +593,9 @@ <h3>Running on TPU Pods<a class="headerlink" href="#running-on-tpu-pods" title="
 doc will talk about the device independent bits of multi-host training
 and will use the TPU + PJRT runtime(currently available on 1.13 and 2.x
 releases) as an example.</p>
-<p>Before you being, please take a look at our user guide at
+<p>Before you begin, please take a look at our user guide at
 <a class="reference external" href="https://cloud.google.com/tpu/docs/run-calculation-pytorch">here</a> which
-will explain some Google Cloud basis like how to use <code class="docutils literal notranslate"><span class="pre">gcloud</span></code> command
+will explain some Google Cloud basics like how to use <code class="docutils literal notranslate"><span class="pre">gcloud</span></code> command
 and how to setup your project. You can also check
 <a class="reference external" href="https://cloud.google.com/tpu/docs/how-to">here</a> for all Cloud TPU
 Howto. This doc will focus on the PyTorch/XLA perspective of the Setup.</p>

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