Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

A hands-on tutorial series for building LangGraph agents with local LLMs via Ollama. Each notebook teaches a concept from scratch - no cloud APIs required.

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

Tutorial: Run a multi-step container workflow in the cloud when you commit source code In addition to a quick task, ACR Tasks supports multi-step, multi-container-based workflows that can ...

Deploying a complex Docker stack isn’t nearly as challenging as you think, at least when Portainer is your GUI of choice. Find out how easy this is with Portainer templates. When you think of ...

What is YOLOv7 model and why should I use it? YOLOv7, an unrivaled object detection algorithm, achieves high-speed accuracy ranging from 5 FPS to 160 FPS. Excelling with a 56.8% AP accuracy for ...

Community driven content discussing all aspects of software development from DevOps to design patterns. One of the interesting features of the Kubernetes container orchestration technology is that ...