Learn why re-ranking fails to stop hallucinations in RAG systems and how context pruning ensures smarter, more reliable AI ...

Like many image and video AI tools, which have (mostly) stopped creating people with six fingers, AI coding tools have also been making great strides. Case in point: developer Indragie Karunaratne ...

The AI revolution began with a simple realization: the way you ask matters. Engineers and users alike discovered that ...

I'll be showing you how to build local AI agents using Python. We'll be using Ollama, LangChain, and something called ...

NVIDIA has unveiled a powerful new parallelism technique that could radically improve how AI models operate on massive ...

This integration tax is not unique: It’s the hidden cost of today’s fragmented AI landscape. Anthropic’s Model Context Protocol (MCP) is one of the first attempts to fill this gap.

Whether you're a Java programmer curious about how to integrate LLM-based applications into your local data stores, or a Spring Boot developer who wants to integrate services with real-time language ...

I have developed a local MCP server which performs retrieval to an ElasticSearch database using hybrid search. The MCP server works fine when adding it to Claude Desktop, or when running the MCP ...

Model Context Protocol (MCP) is an open standard (introduced in late 2024 by Anthropic) that standardizes how AI models connect to data sources and tools. This repository aims to provide a clear, ...

With TypeScript, C#, and Python all supported, you should have most of the tools you need to start writing your own Azure MCP agents. You can experiment from inside Visual Studio Code, using ...