Introduction to Google Agent Development Kit
Google Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents.
Google Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents.
Microsoft Agent Framework is the new open-source development kit for creating agents and agentic workflows. This article introduces foundry agents.
Microsoft Foundry (formerly Azure AI Foundry) is a unified system for building intelligent agents. It is a platform that provides models, tools, frameworks, and other aspects such as observability, guardrails, and enterprise-ready governance for creating AI agents.
Microsoft Agent Framework is an open-source development kit for building AI agents and multi-agent workflows.
There are several options available for running Large Language Model (LLM) inference locally. Foundry Local by Microsoft is a new entrant.
Docker Model Runner β a faster, simpler way to run and test AI models locally, right from your existing workflow. Whether youβre experimenting with the latest LLMs or deploying to production, Model Runner brings the performance and control you need, without the friction.
There are several options available for running Large Language Model (LLM) inference locally. LM Studio is one such option. It is more comprehensive and offers some great features.
There are several options available for running Large Language Model (LLM) inference locally. Ollama is one such option and my favorite among all. Ollama offers access to a wide range of models and has recently enabled cloud-hosted models as well. It offers both CLI and GUI (chat interface) to interact with the loaded models.
Know what went into AutoGen 0.5.1 -- the open framework for creating multi-agent systems.
Extending what you learned in the previous article on the basics of kro, this article demonstrates a few more features of kro with the help of a sample voting application.
Kube Resource Orchestrator (KRO) introduces a new Kubernetes-native and cloud-agnostic way to group Kubernetes resources.
Extend knowledge of creating MCP servers to achieve more practical applications
Development containers are a great way to develop modern applications. Cloud-native applications usually implement more than one service to provide the application functionality. Using dev containers for microservices-based application development requires more than one container. This is where using Docker Compose with dev containers is useful. This article explores creating a multi-container development environment using VS Code dev containers and Docker Compose.
Bicep simplifies provisioning Azure Red Hat OpenShift clusters. This article explains how!
Kubeadm is the go to tool for Kubernetes administrators. Understand how to use this tool combined with Bicep to provision a virtualized K8s cluster.
Kubeadm is a handy tool to configure Kubernetes clusters. This article explains how to create a K8s cluster using Ubuntu VMs.