Artificial Intelligence (AI) refers to machines designed to simulate specific human intellectual tasks, while Artificial General Intelligence (AGI) denotes machines with the broad capability to perform any intellectual task a human…
AI 2.0 represents a fundamental leap in artificial intelligence, creating systems that are versatile, powerful, and more human-like than current narrow AI. It combines advances in quantum computing, neuroscience, robotics, and…
A negative prompt in AI instructs the model on what to avoid when generating content. Instead of directing the AI on what to include, a negative prompt explicitly tells it which…
An AI agent is a software system that autonomously performs tasks by planning workflows and using available tools to achieve predefined goals. It acts on behalf of a user or another…
AI Overviews are concise AI-generated snapshots shown in about 30% of Google searches, mainly for informational queries. They feature a brief AI-crafted answer and top links, enhancing user experience by delivering…
A RAG (Resource Allocation Graph) in AI contexts refers primarily to a model originally used in operating systems to visualize and manage resource allocation and process interactions. Although the term “RAG”…
A key feature of generative AI is its ability to generate new, original content by learning patterns from large datasets across multiple formats such as text, images, music, and video. This…