AI-apps work by utilizing ML algorithms, which are designed to analyze large amounts of data and identify patterns and insights. The algorithms learn from the data they are fed and use this knowledge to make predictions, recommendations, and decisions based on new inputs. Natural language processing (NLP) is another key technology used by AI-apps, allowing them to understand and interpret human language and respond in a way that is both natural and accurate. AI-apps often rely on neural networks, which are computer systems modeled on the human brain and designed to process and analyze complex data. These networks can be trained to recognize images, speech, and other forms of input, allowing them to perform a wide range of tasks. Once an AI-app has been trained on a particular dataset, it can be deployed to make predictions or provide recommendations based on new data inputs.