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Update README.md #1110

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -76,7 +76,7 @@ Paddle Inference针对大模型Prompt阶段与Token Generation阶段的计算特

### 大模型部署：实时感知负载动态插入请求，最大化硬件利用率

由于大模型生成场景解码阶段耗时较长，且不同Query下生成长度不一，为了最大化服务吞吐，我们在FastDeploy服务框架结合推理引擎实现了动态插入技术，科实时感知服务负载，动态插入用户请求最大化推理硬件利用率。
由于大模型生成场景解码阶段耗时较长，且不同Query下生成长度不一，为了最大化服务吞吐，我们在FastDeploy服务框架结合推理引擎实现了动态插入技术，可实时感知服务负载，动态插入用户请求最大化推理硬件利用率。

<p align="center">
<img width="350" alt="大模型服务部署" src="https://github.com/PaddlePaddle/PaddleFleetX/assets/1371212/d2e38f78-9088-4b1a-a9bd-1018385b5b86">
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