Differences Between RAG and CAG In this tutorial, let’s understand the difference between RAG and CAG. Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) is a technique used in AI models to improve response accuracy by retrieving relevant information from external sources before generating an answer. Instead of relying solely on pre-trained knowledge, a RAG model searches […]

Difference Between Bits and Qubits In this tutorial, let’s examine the difference between bits and qubits. Understanding this is important for understanding the basics of Quantum computing. Bit A bit (short for binary digit) is the smallest unit of data in classical computing. It can represent one of two possible states: 0 or 1.   […]

What is a Multi-agent AI System? A Multi-agent AI System is a framework where multiple autonomous AI agents interact, collaborate, or compete to achieve individual or shared goals. These agents can be software programs, robots, or intelligent entities that perceive their environment, make decisions, and act independently while coordinating with others. Characteristics of Multi-Agent AI […]

AI as a Service (AIaaS) AIaaS is a cloud-based service model providing access to artificial intelligence tools and infrastructure, enabling businesses to integrate AI capabilities without developing in-house solutions. It leverages cloud computing to offer scalable, cost-effective AI resources. Key Components Pre-built AI Models: Ready-to-deploy solutions for tasks like image recognition (e.g., AWS Rekognition) or […]

What is Quantum AI? Quantum AI is a combination of two technologies: Quantum computing and Artificial intelligence (AI). Quantum Computing Traditional computers use bits to process information, which can be either 0 or 1. Quantum computers use qubits, which can be 0, 1, or both at the same time. To understand the difference: Difference between bit […]