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Augmented Reality (AR) is a groundbreaking technology that blends digital content into the real world, creating an interactive and immersive experience. Unlike virtual reality, which transports users into a fully virtual environment, AR overlays virtual elements—like images, text, or sounds—onto the physical world. By using devices such as smartphones, tablets, or AR glasses, users can see and interact with enhanced versions of their surroundings. As AR evolves, it’s becoming a powerful tool across industries, bridging the gap between virtual and real worlds in ways previously unimaginable.

Katie Millie’s Python Development with Large Language Models explores how LLMs revolutionize Python development by automating tasks, generating code, and enhancing text processing. Covering setup, fine-tuning, and real-world applications, the book empowers developers to harness LLMs for efficiency and innovation, making it an essential guide for AI-driven programming​

Omar Johnson’s ChatGPT for Fiction Writing explores how AI can revolutionize storytelling by aiding in character creation, world-building, and plot development. It emphasizes balancing human creativity with AI’s efficiency and highlights strategies to monetize AI-assisted fiction. This guide is essential for writers seeking to enhance productivity and navigate modern publishing​

Sinan Ozdemir's Quick Start Guide to Large Language Models provides essential strategies for using, fine-tuning, and deploying LLMs like ChatGPT. With a focus on prompt engineering, semantic search, and secure deployment, it empowers readers to leverage LLMs effectively, making it an invaluable resource for maximizing AI applications across industries

Low-code and no-code platforms are transforming software development, providing individuals and businesses the tools to create applications with minimal or no programming skills. These platforms simplify the development process by offering drag-and-drop features, visual editors, and pre-built templates, enabling even those without a technical background to create functional software. With a predicted shortage of skilled developers, low-code/no-code platforms are gaining traction as they bridge the gap between demand for applications and the availability of programmers.

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