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Source channel @githubtrending · Post #14693 · May 10

#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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Pocket Rocket Announcement

@pocket_rocket_game · Post #12 · 05/28/2024, 10:04 AM

🚀Our spaceship is on its way to success 🚀 And we believe that each of you can help us reach new heights. That’s why we are launching a content creation activity! The participants will receive 500,000 crystal rocks each for their videos. We will also select the best-performing entries and reward them with WBT. 📲You can join the activity on Instagram, TikTok, X (Twitter), or YouTube. Fill out this form to participate. Read more about the activity here. ⚡️ Don’t forget to use the #PocketRocket hashtag when publishing your content. We can’t wait to see your content! Play | Announcements | Telegram Chat | Twitter |

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