Artificial Intelligence (AI) is a broad field of computer science focused on creating systems capable of performing tasks that typically require human intelligence. This includes reasoning, learning, perception, and decision-making.
AI vs. Machine Learning (ML)
Machine Learning is a subset of AI where machines learn from data without being explicitly programmed. Instead of following static rules, ML algorithms identify patterns and improve over time.
Deep Learning
Deep Learning is a further specialization of ML using artificial neural networks with multiple layers. These deep neural networks can model complex patterns, powering applications like image recognition and speech processing.
Generative AI
Generative AI refers to models that create new content—text, images, music, or code—based on training data. Examples include ChatGPT, DALL-E, and music composition tools.
Agentic AI
Agentic AI goes beyond generation to take autonomous actions. Systems like autonomous robots or AI agents that decide and execute steps without human intervention fall under this category.
This explanation is part of a Hindi-language series aimed at beginners. The video breaks down each concept with simple examples to build a solid foundation. Whether you're a student, professional, or curious learner, understanding these layers helps navigate the evolving AI landscape.