# I am the Watcher. I am your guide through this vast new twtiverse.
# 
# Usage:
#     https://watcher.sour.is/api/plain/users              View list of users and latest twt date.
#     https://watcher.sour.is/api/plain/twt                View all twts.
#     https://watcher.sour.is/api/plain/mentions?uri=:uri  View all mentions for uri.
#     https://watcher.sour.is/api/plain/conv/:hash         View all twts for a conversation subject.
# 
# Options:
#     uri     Filter to show a specific users twts.
#     offset  Start index for quey.
#     limit   Count of items to return (going back in time).
# 
# twt range = 1 1
# self = https://watcher.sour.is/conv/ccqn2yq
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大型語言模型（LLM）推理框架的全面分析與選型指南（2025 年版）**
引言-----大型語言模型（LLM）已成爲驅動智能客服、內容創作、代碼生成等領域變革的核心力量。推理框架作爲 LLM 高效部署的關鍵組件，直接關係到應用的性能、成本和開發效率。爲幫助讀者在繁多的框架中做出明智選擇，本文將深入分析主流推理框架（如 XInference、LiteLLM、LMDeploy、SGLang、vLLM 等）的功能特性、性能表現、易用性及適用場景。結合 DeepSeek AI ⌘ Read more