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Learning from Data

                 AI learns from the data provided to it. During the model training phase, the AI model adjusts
                 itself based on data to learn how to perform tasks and make predictions. It also finds patterns in
                 the data. For example, AI learns to recognise cats in photos by analysing thousands of images

                 labelled as “cat.”


                 Decision Making

                 After learning from the data, the AI makes decisions or predictions. These decisions are based
                 on the patterns it detected during the training phase. For example, a recommendation system
                 decides which film to show you next based on your past viewing habits.


                 Improvement

                 AI systems improve over time by receiving feedback and analysing results. They retrain or update
                 their models using new data or corrections. For example, a self-driving car improves its driving

                 decisions as it encounters more traffic situations and receives updates.


                         Types of AI


                 AI encompasses various levels of intelligence and capabilities that artificial intelligence systems
                 may possess. These categories  help us classify  AI according  to its advancement  in learning,
                 thinking, and performing tasks that range from simple to highly sophisticated systems. There are
                 three main types of AI.


                                                             Types of AI




                                       Narrow AI             General AI              Super AI


                 Narrow AI

                 Narrow AI, also known as Weak AI, is designed for specific tasks or a narrow range of tasks. It cannot
                 think or learn beyond its programmed functions and operates under predefined conditions. It
                 does not possess consciousness or true intelligence. For example, voice assistants like Alexa, spam

                 filters, Google Maps, facial recognition systems, chatbots and recommendation systems. Narrow AI
                 focuses on excelling in a particular area of expertise and is the most common type of AI used today.


                 General AI

                 General AI refers to an AI system that possesses human-level intelligence, enabling it to understand,
                 learn, and apply knowledge across a wide range of tasks, similar to humans. It is also known as
                 Strong AI.


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