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feat: rebrand - LocalAGI and LocalRecall joins the LocalAI stack family (#5159)
* wip Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Update lotusdocs and hugo Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * rephrasing Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Latest fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Adjust readme section Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@ -13,6 +13,8 @@ LocalAI supports two modes of distributed inferencing via p2p:
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- **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.
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- **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).
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A list of global instances shared by the community is available at [explorer.localai.io](https://explorer.localai.io).
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## Usage
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Starting LocalAI with `--p2p` generates a shared token for connecting multiple instances: and that's all you need to create AI clusters, eliminating the need for intricate network setups.
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