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Source channel @githubtrending · Post #14693 · May 10

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#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai

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producTICvidad® 📲📈

@producTICvidad · Post #1042 · 04/22/2023, 09:20 PM

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Esto está muy poderoso... Eight dimensions of #DesignThinking capture important differences in how managers and designers perform their work and make decisions. 1️⃣ Design thinking has the potential to drive innovation and improve customer experiences in organizations. 2️⃣ To succeed, organizations must understand and adopt the principles of design thinking. 3️⃣ Developing the right culture and mindset is crucial for design thinking to be effective. 4️⃣Embracing collaboration, ambiguity, and iterative learning can help organizations leverage design thinking. 5️⃣ Openness to change and adaptability are essential for design thinking to deliver sustainable growth. https://sloanreview.mit.edu/article/can-design-thinking-succeed-in-your-organization/

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