Understanding the Model Context Protocol (MCP) for AI Integration
LLMs are powerful—but without access to live tools, data, and systems, they’re limited. Discover how MCP bridges that gap and why it’s becoming the standard for AI integration.
Ai
Building a simple MCP Server
This guide covers building an MCP server in C# (.NET) with NuGet package management, running it in VS Code, and integrating with GitHub Copilot for AI-assisted development.
Building an MCP Server with Akka (Part 4)
This guide demonstrates building an MCP server using Akka Java SDK with annotation-based tool definitions, service discovery, and integration with both external MCP clients and Akka agents.
Agentic AI: From Copilots to Agents
A comprehensive guide to Agentic AI, exploring how autonomous AI systems are evolving beyond traditional generative AI to become proactive, goal-driven agents capable of complex problem-solving.
Model Inference Explained: Turning AI Models into Real-World Solutions
Explore the power of model inference, its importance in machine learning, and best practices for getting the most out of your models.
Unlocking the Power of Greenplum: The Ultimate Database for AI/ML Workloads
Learn how to set up Greenplum on Rocky Linux in WSL2 and explore its powerful features for AI/ML workloads.
Using AI/ML to build a Fraud Detection Model
Fraud detection involves finding patterns in data. In this blog post we will build an AI/ML model for fraud detection
Demystifying AI: A Gentle Introductory Guide for Tech Enthusiasts
Learn the fundamentals of AI and data science in this non-technical guide. Discover subfields like machine learning and robotics, and explore how to use AI for problem-solving.