Archive: AI

In a rapidly evolving landscape in the field of natural language processing (NLP) and AI systems, two methodologies are gaining prominence: RAG (retrieval-augmented generation) and KAG (knowledge-augmented generation).

These two approaches enhance the capabilities of linguistic models by integrating external knowledge sources but differ in how they access and use knowledge.

We have compiled their most important points to consider to compare them and analyze their architectures, use cases, advantages, etc.

Artificial intelligence relies on two fundamental phases: training and inference. Although they work together, they serve very different purposes. Training teaches a model how to think, while inference is the moment the model actually uses what it has learned.

A step-by-step guide to setting up Model Context Protocol (MCP) servers for Claude Desktop on Windows.

Marketing teams have long relied on multimedia content to promote their products, whether that’s an engaging video for a product launch campaign, a podcast exploring customer stories, or background music for TikTok and Instagram Reels.