新课程：使用SGLang进行高效推理：文本与图像生成，与LMSys @lmsysorg 和 RadixArk @radixark 合作开发，由RadixArk技术团队成员Richard Chen @richardczl 主讲
这门短期课程教授如何使用开源推理框架SGLang消除LLM生产环境中的冗余计算成本。通过实现KV缓存和RadixAttention技术，SGLang能跨用户和请求共享已处理的计算，显著提升文本和图像生成的推理速度与成本效率。
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