The term “AI” typically refers to artificial intelligence, which encompasses various technologies and algorithms designed to mimic human cognitive functions such as learning, problem-solving, and decision-making.

AI has made significant strides in recent years, enabling machines to perform tasks that were once thought to be exclusive to humans, such as language translation, image recognition, and game playing.

“Gen AI,” on the other hand, stands for “General Artificial Intelligence.” This concept refers to an AI system that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks and domains, much like a human being. Unlike the specialized AI systems we have today, which excel at specific tasks but lack general intelligence, General AI would be capable of adapting to new situations, reasoning about complex problems, and interacting with humans in a manner similar to human intelligence.

In essence, the key difference between AI and Gen AI lies in their scope and capabilities. While AI refers to the broader field of artificial intelligence encompassing a wide range of specialized systems, Gen AI represents a theoretical future state where machines achieve a level of general intelligence comparable to that of humans. Gen AI remains a topic of speculation and research in the field of artificial intelligence, with significant technical and ethical challenges to overcome before such systems could become a reality.