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@@ -66,7 +66,7 @@ OpenVINO™ GenAI library provides a transparent way to use state-of-the-art gen
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- KVCache token eviction algorithm that reduces the size of the KVCache by pruning less impacting tokens.
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Additionally, OpenVINO™ GenAI library implements a continuous batching approach to use OpenVINO within LLM serving. The continuous batching library could be used in LLM serving frameworks and supports the following features:
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- Prefix caching that caches fragments of previous generation requests and corresponding KVCache entries internally and uses them in case of repeated query. See [here](https://google.com) for more detailed overview
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- Prefix caching that caches fragments of previous generation requests and corresponding KVCache entries internally and uses them in case of repeated query.
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Continuous batching functionality is used within OpenVINO Model Server (OVMS) to serve LLMs, see [here](https://docs.openvino.ai/2025/openvino-workflow/model-server/ovms_what_is_openvino_model_server.html) for more details.
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