AI Basics

The article delves into the intricate phenomenon of AI hallucination, exemplified by inaccurate weather predictions and flawed medical diagnoses. It explores the real-world manifestations, underlying causes, and implications of AI hallucinations. Strategies for preventing these errors aim to enhance the reliability of AI systems.

This article explains how AI algorithms work, detailing their process of learning from data to make decisions. It covers types of AI algorithms—supervised, unsupervised, and reinforcement learning—and highlights their real-world applications, from social media to self-driving cars.

Delve into Artificial Intelligence in this concise article. Learn its components, applications, and impacts, from efficiency gains to ethical dilemmas. Discover real-world AI uses like speech recognition and computer vision. Stay informed about AI's evolving landscape for a future benefiting humanity.

This article introduces Large Language Models (LLMs), showcasing their efficiency in natural language tasks and various applications such as copywriting and code generation. It also touches on their advantages, challenges, and ethical considerations while hinting at their transformative potential across industries.

This article explores Narrow AI, or 'Weak AI', which excels in singular tasks, offering heightened productivity and reduced errors. Despite limitations like data dependency, it's integral in fields like voice assistance and recommendation systems.

We explain how AI Image Generation works, the process behind its creation, and examine both the potential benefits and risks that come from this revolutionary technology.