Welcome to Our AI Community! 🥳 Hello everyone! Please join me in giving a warm welcome to our newest members. We're excited to have you join us as we explore and innovate in the world of ethical and innovative AI. Dive into our resources, participate in discussions, and contribute to our shared mission. Remember to post about your experiences, resources you find, and what you are learning along the way! Avoid using AI to create your posts or copying and pasting from the internet into our community, though helpful links are encouraged! Welcome aboard! 🚀🌟 If you are new here, this is a new weekly post for all our new members to introduce themselves to the community! Let us know who you are, where you are from, how you serve and how you can be served! If you introduced yourself in a previous post, feel free to just say hi! And please join our onboarding class to kickstart your AI journey! Click here @Marlon Wong @Marie Mattson @Dasa Simova @Queen-Monica Yembet @Chancelle Digata @Allexe Law @Sukhminder Jit Singh @Dan Katz @Emirhan Erol @Vivian Dinh @Amanda Maviss @Luther Tyson @Djhulia Legiste @Dom Davis @Disco Tuba @Tracey Scott @Viridiana Martinez @Nancy Clark @Beau James @Johanna Rendon @Stephanie Spencer

Hello New Members! Please read the entire post! You've joined a dynamic AI community, and we're thrilled to have you Next Steps: - Start Your Onboarding! - Get 2 Level 2 for Exclusive Access to AI Leadership Resources - Place Yourself on the Map! - Start liking and commenting on members posts - Participate in Events and Challenges. - Engage with our community through Discussions and Activities. We’re excited to see your introduction and have you as part of our AI journey! - Start Your Onboarding!

I am considering exploring using Replit ( https://replit.com/ ) Agent 3 as a tool for vibe coding and building production-quality code. I'm wondering if anyone else is already using Replit or something else, and your experiences with the code being generated? I have looked at Claude Code, but am unhappy with the token limits that Anthropic enforces.

Google just opened the floodgates. They've released their Data Commons through MCP—billions of verified data points from governments, the UN, authoritative sources. This isn't just about better training data for AI, this is about fundamentally different AI capabilities that will separate winners from losers. https://developers.googleblog.com/en/datacommonsmcp/ Here's what most business leaders are missing while they're focused on model selection and prompt engineering: The AI reliability crisis has potentially been solved—but only for organizations that understand how to leverage authoritative data sources. You now have: Billions of verified data points from authoritative sources including governments and the UN Data Commons MCP Server providing direct access to structured, context-rich datasets Universal data integration through Anthropic's Model Context Protocol standard Hallucination reduction through grounding AI outputs in verified sources Competitive advantage for enterprises that integrate authoritative data into AI systems But here's what makes this strategically transformative: This isn't just about accessing better data. It's about building AI systems that deliver reliable, verifiable outputs that create sustainable competitive advantages. Want to learn by doing and get practical experience with live expert help and support? Looking to learn more about Agentic AI? Consider joining us in the AI Leadership Institute. Our next masterclass in just a few weeks away!

Happy Reading! You can be sure we will have a video walk through of each of these! Agentic AI patterns and workflows on AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-patterns/introduction.html Foundations of agentic AI on AWS 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-foundations/introduction.html Writing best practices for RAG: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/writing-best-practices-rag/introduction.html Agentic AI frameworks, protocols, and tools on AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-frameworks/introduction.html Building architectures for agentic AI on AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-multitenant/introduction.html Creating RAG solutions on AWS for healthcare: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/rag-healthcare-use-cases/introduction.html Choosing an AWS vector database for RAG use cases: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/introduction.html Building serverless architectures for agentic AI using AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-serverless/introduction.html