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Update distributed_inferencing.md

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Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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@ -11,7 +11,7 @@ This functionality enables LocalAI to distribute inference requests across multi
LocalAI supports two modes of distributed inferencing via p2p:
- **Federated Mode**: Requests are shared between the cluster and routed to a single worker node in the network based on the load balancer's decision.
- **Worker Mode**: Requests are processed by all the workers which contributes to the final inference result (by sharing the model weights).
- **Worker Mode** (aka "model sharding" or "splitting weights"): Requests are processed by all the workers which contributes to the final inference result (by sharing the model weights).
## Usage