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Source channel @githubtrending · Post #15076 · Aug 19

#python#aws#mcp#mcp_client#mcp_clients#mcp_host#mcp_server#mcp_servers#mcp_tools#modelcontextprotocol AWS MCP Servers use the Model Context Protocol (MCP), an open standard that connects AI tools with AWS data and services in a simple, secure way. These servers improve AI responses by providing up-to-date AWS documentation, best practices, and workflow automation for cloud development, infrastructure, and operations. You can run MCP servers locally for development or use AWS-managed remote servers for easy access and scalability. MCP servers support many AWS services like Lambda, DynamoDB, EKS, and more, helping you build, manage, and optimize AWS resources efficiently with AI assistance. Installation is easy with one-click options for popular tools like VS Code and Cursor. This makes cloud development faster, more accurate, and cost-effective. https://github.com/awslabs/mcp

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AI & Law

@ai_and_law · Post #127 · 10/02/2023, 07:04 AM

ISO and IEC Make Foundational Standard on Artificial Intelligence Publicly Available Hello, everyone! The International Organisation for Standardization (ISO) and the International Electrotechnical Commission (IEC) have made ISO/IEC 22989, a critical AI standard, accessible to the public. This foundational standard defines over 110 essential AI concepts, including 'datasets', 'AI agents', 'transparency', and 'explainability'. ISO/IEC 22989 provides conceptual guidance for Natural Language Processing (NLP) and Computer Vision (CV) models. Its goal is to establish a shared vocabulary, terminology, and framework for AI concepts, promoting fruitful discussions among stakeholders. Here's a snapshot of key definitions: - AI System - Artificial General Intelligence (AGI) - AI Auditor - Robustness - Explainability - Predictability - Transparency - Trustworthiness As AI regulations surge worldwide, standardization becomes a vital need, especially in the absence of global alignment in regulatory language. #AIStandards#AI#ISO#IEC#AICommunity