[Doc]: fix typos in various files (#28863)
Signed-off-by: Didier Durand <durand.didier@gmail.com>
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@@ -91,6 +91,6 @@ Disaggregated prefilling is highly related to infrastructure, so vLLM relies on
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We recommend three ways of implementations:
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- **Fully-customized connector**: Implement your own `Connector`, and call third-party libraries to send and receive KV caches, and many many more (like editing vLLM's model input to perform customized prefilling, etc). This approach gives you the most control, but at the risk of being incompatible with future vLLM versions.
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- **Fully-customized connector**: Implement your own `Connector`, and call third-party libraries to send and receive KV caches, and many many more (like editing vLLM's model input to perform customized prefilling, etc.). This approach gives you the most control, but at the risk of being incompatible with future vLLM versions.
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- **Database-like connector**: Implement your own `LookupBuffer` and support the `insert` and `drop_select` APIs just like SQL.
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- **Distributed P2P connector**: Implement your own `Pipe` and support the `send_tensor` and `recv_tensor` APIs, just like `torch.distributed`.
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