AI (Artificial Intelligence) systems are typically built using a combination of computer programming and machine learning techniques.
Computer programming involves writing code in a specific programming language to specify the tasks and functions that an AI system should be able to perform. This code is used to define the rules and logic that the AI system should follow, and can include instructions for processing data, making decisions, and performing various tasks.
Machine learning involves using algorithms and statistical models to enable an AI system to learn and adapt based on data, without being explicitly programmed for specific tasks. This can involve training the AI system on a large dataset, and allowing it to learn patterns and relationships in the data that can be used to make predictions or decisions.
Overall, while coding is an important part of building AI systems, it is just one aspect of the development process, and AI systems may also involve other techniques such as machine learning, data analysis, and mathematical modeling.
