Artificial Intelligence (AI) is a technology that enables computers and machines to emulate human abilities such as learning, problem-solving, decision-making, creativity, and autonomy. These systems can analyze data, recognize patterns, and make predictions or decisions based on what they process.

AI can also understand and respond to human speech, enabling tasks such as speech recognition and language translation.

From virtual assistants like Siri and Alexa to complex algorithms in healthcare and finance, AI powers many tools and systems, helping machines perform tasks that typically require human intelligence.

Generative AI (Gen AI) is a subset of artificial intelligence designed to create new, original content such as text, images, music, and more.

Unlike traditional AI, which operates based on set rules and existing data, Gen AI uses advanced techniques such as deep learning to generate entirely new data and ideas. This enables it to write, design, or create art from scratch, simulating human creativity.

While it holds incredible potential for industries such as entertainment, design, and marketing, Generative AI can also face challenges with accuracy and reliability.

AI (Artificial Intelligence) is a broad term that refers to technology that enables machines to emulate human intelligence, such as decision-making, problem-solving, and pattern recognition. Traditional AI systems follow predefined rules and analyze data to perform specific tasks, such as language translation or facial recognition.

Generative AI (Gen AI), on the other hand, is a specialized branch of AI that focuses on creating new, original content such as text, images, music, and video.

While traditional AI works with existing data, Gen AI generates entirely new data and ideas by learning patterns from large data sets. For example, Gen AI can write an article, design graphics, or compose music from scratch.