香港中文大學團隊提出SLIM框架，解決大模型智能體從“會聊天”到“會做事”演進中的技能管理難題。該框架實現動態技能生命週期管理，打破盲目堆積技能的行業怪圈，爲高效管理智能體外部能力提供新思路。
Alibaba
$2
輸入tokens/百萬
-
輸出tokens/百萬
256
上下文長度
Chatglm
128
Baidu
$1
$4
64
Tencent
$6
$18
$0.1
$0.4
Google
01-ai
4
Zigeng
SlimSAM是一種創新的SAM模型壓縮方法，通過統一剪枝-蒸餾框架高效複用預訓練SAM，無需大量重複訓練。
SlimSAM是一種創新的SAM模型壓縮方法，通過剪枝-蒸餾框架高效複用預訓練SAM，僅需0.1%訓練數據即可達到相近性能。
Slim-MCP是一個為Claude AI提供Python工具集成的框架，通過MCP協議增強AI功能
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