Definition and Key Concepts A foundation model is a large-scale AI model trained on vast, diverse datasets that can be adapted to many tasks. Unlike traditional models built for single functions, it provides a “base” or “foundation” for multiple downstream applications. Key concepts include: In short, a foundation model is the backbone of modern AI … Read more

Definition and Key Concepts Robotics is the interdisciplinary field that designs, builds, and operates robots—machines programmed to perform tasks automatically or semi-autonomously. It combines engineering, computer science, and artificial intelligence. Robots range from industrial machines in factories to humanoid assistants, drones, and surgical robots. Modern robotics emphasizes autonomy, precision, and collaboration with humans. ELI5 (Explain … Read more

Definition and Key Concepts Multimodal AI refers to artificial intelligence systems that can process and integrate multiple types of data such as text, images, audio, and video. Unlike single-modal AI, which focuses on one type of input, multimodal AI combines different modes to understand context better. For example, a multimodal system can analyze a video … Read more

Definition and Key Concepts Machine learning (ML) is a branch of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. The goal is to recognize patterns, make predictions, or take decisions based on input data. Key concepts include: ELI5 (Explain Like I’m 5) Imagine teaching a child … Read more

Definition and Key Concepts Generative AI is a branch of artificial intelligence that creates new content, such as text, images, code, audio, or video. Instead of analyzing data only, it produces original outputs that resemble human-created work. Key concepts include: Generative AI is central to today’s AI revolution, powering tools like ChatGPT, DALL·E, and Stable … Read more

Last Updated: September 27, 2025 Definition and Key Concepts Deep learning is a branch of machine learning that uses artificial neural networks to process data and learn patterns. It mimics how the human brain interprets information by using multiple computational layers. At its core, deep learning involves: Deep learning powers modern AI applications, from voice … Read more

Last Updated: September 27, 2025 Definition and Key Concepts Conversational AI is a branch of artificial intelligence that enables machines to understand, process, and respond to human language in a natural way. It powers chatbots, voice assistants, and customer service systems. Key concepts include: ELI5 (Explain Like I’m 5) Imagine talking to a robot that … Read more

Last Updated: September 27, 2025 Definition and Key Concepts Artificial General Intelligence (AGI) refers to machines capable of performing any intellectual task a human can do. Unlike narrow AI, which is task-specific, AGI aims for adaptability and reasoning across diverse domains. Key concepts include: ELI5 (Explain Like I’m 5) Imagine a robot that can learn … Read more

Last Updated: September 27, 2025 Definition and Key Concepts Artificial Intelligence (AI) applications and use cases describe how machine learning, natural language processing, and automation technologies solve practical problems. These range from predictive analytics in finance to medical diagnosis in healthcare. Key concepts include: ELI5 (Explain Like I’m 5) AI is like a smart helper … Read more

Last updated: September 27, 2025 Definition and Key Concepts AI problems and pitfalls refer to challenges, risks, and unintended effects that arise when developing or deploying artificial intelligence systems. These include technical, ethical, social, and regulatory issues. Key concepts: ELI5 (Explain Like I’m 5) Imagine building a super-smart robot. If you don’t teach it carefully, … Read more