Introduction: Technology has become an essential part of everyday life, influencing how people communicate, work, learn, and manage daily tasks. Despite its widespread use, many individuals still feel uncomfortable or anxious when dealing with digital tools. For non-tech-savvy users, technology often appears confusing due to unfamiliar terminology, frequent updates, and fear of making mistakes. This blog focuses on breaking down technology into simple, understandable concepts and explaining how it can be used safely and effectively without requiring technical expertise. Understanding the Needs of Non-Tech-Savvy Users: Being non-tech-savvy does not mean a lack of intelligence or ability. It usually means limited exposure to technology or a lack of confidence in using digital devices. Many users did not grow up with smartphones or computers and therefore find modern interfaces unfamiliar. They often prefer clear guidance, simple language, and reassurance that mistakes can be corrected. A...
Introduction Artificial Intelligence has come a long way from simple decision-theoretic systems to highly advanced models such as LLMs (Large Language Models), which show impressive performance in tasks such as generating new text, summarization, and response to questions. These models suffer from a serious limitation in the sense that they are highly dependent on pre-trained data and lack the capability to know anything in real-time or in domain knowledge. This problem was tackled by a new approach called Retrieval-Augmented Generation (RAG). This approach is an advancement in the skill set of Generative Artificial Intelligence in the sense that it makes use of the combination ofinformation retrieval and text or language generation. Understanding Retrieval-Augmented Generation Retrieval-Augmented Generation is a state-of-the-art AI architecture that seamlessly unifies two key components, which are a retrieval system and a generation model. In contrast to most AI models that ...