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Serverless Training quickstart: train a support agent with Serverless RL #2879

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Serverless Training quickstart: train a support agent with Serverless RL #2879

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docs(serverless-training): add quickstart for training a support agen…
dbrian57 Jul 8, 2026
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docs(serverless-training): apply style-guide pass to quickstart
dbrian57 Jul 8, 2026
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1 change: 1 addition & 0 deletions docs.json
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Original file line number Diff line number Diff line change
Expand Up @@ -830,6 +830,7 @@
"pages": [
"serverless-training",
"serverless-training/prerequisites",
"serverless-training/quickstart",
"serverless-training/usage-limits",
{
"group": "Serverless RL",
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2 changes: 1 addition & 1 deletion serverless-training.mdx
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Expand Up @@ -18,7 +18,7 @@ Serverless Training is ideal for tasks like:

Serverless Training trains low-rank adapters (LoRAs) to specialize a model for your specific task. This extends the original model's capabilities with on-the-job experience. W&B automatically stores the LoRAs you train as artifacts in your account. You can also save them locally or to a third party for backup. Serverless Inference also automatically hosts models that you train through Serverless Training.

See the ART [quickstart](https://art.openpipe.ai/getting-started/quick-start) or [Google Colab notebook](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb) to get started.
To get started, train a customer support agent in the [quickstart](/serverless-training/quickstart).

## Why Serverless Training?

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