Azure-based multi-agent system that discovers, validates, and publishes new Nemotron resources daily. Uses scheduled aut...
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Using Azure, Build an AI agent that maintains its own awesome list using the very model it's curating. Here’s how the auto-curator works: → 4 specialized agents: discoverer, validator, publisher, & a root coordinator ~ powered with Docker Agent → Runs every morning at 9am via GHA → Searches the web, HuggingFace, arXiv, GitHub for new Nemotron content → Validates every link
A correction. This architecture doesn't use Docker Agent. It uses Azure Container Instances. Azure Container instances doesn't use docker agent, it can use docker images. I created the architecture in the platform so people can explore different cloud implementations of the same design.
2 days ago
This is based on Ajeet Singh Raina's X post but instead it uses Azure. His version of it uses No Python and No node.js. It's posted here: https://x.com/ajeetsraina/status/2031946037305491656?s=46&t=G2z8HbM5QkwtwFHdjJXcmw
3 days ago
2 days ago
I appreciate the comprehensive approach with multiple agents and services in your architecture. However, a significant concern is the reliance on Azure Functions for orchestrating the workflow. While they provide flexibility and scalability, they can introduce cold start issues, especially if the functions are not invoked frequently. This could lead to delays in the morning runs, impacting the timely update of the curated list. Additionally, I notice multiple Azure Container Instances (ACI) for each agent, which might complicate debugging and monitoring. Consider consolidating some functions or using Azure Kubernetes Service to enhance manageability and performance. Overall, ensuring that latency is minimized will be crucial for production reliability.
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Expert cloud architect with 463 multi-cloud infrastructure deployments across AWS, Azure, GCP, and OCI, leveraging 12 distinct technologies to design and deploy robust architectures. Hands-on practitioner with a documented 35% deployment success rate across cross-cloud implementations.
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20 cloud services in this architecture
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