@awesomeopensource · Post #147 · 07/25/2018, 02:38 PM
dvc 为机器学习实验设计的版本控制,可以兼容任何git存储库。用于管理实验数据和代码,可以重现实验过程和结果。(视频很有意思) Tags:#machinelearning#versioncontrol#tools Languages:#python
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Source channel @githubtrending · Post #15116 · Sep 3
#other#ai#anthropic_claude#awesome#context#mcp#model_context_protocol#servers#tool_use#tools Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control. https://github.com/appcypher/awesome-mcp-servers
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@awesomeopensource · Post #147 · 07/25/2018, 02:38 PM
dvc 为机器学习实验设计的版本控制,可以兼容任何git存储库。用于管理实验数据和代码,可以重现实验过程和结果。(视频很有意思) Tags:#machinelearning#versioncontrol#tools Languages:#python