AI is technology that uses algorithms (a set of rules) trained on large sets of data to create machine learning models that allow machines to mimic human interaction. It does not search for the correct answer, it gives a probable one. Depending on the AI, the data can be tagged by a human as a good answer, but some do not supervise the data. Or the AI can use supervised and unsupervised data. The machine learning technique may include reinforcement learning where positive and negative values are given to desired and undesired actions.
AI is a technology that lets machines simulate human intelligence by taking in large sets of data, finding patterns and correlations, and using algorithms to predict a model, evaluate the prediction, and repeat until the system outputs information. The data can either be supervised, (i.e. data is structure and has been labeled), or unsupervised, or a mix of both.
It does not search for the most correct answer, and it does not think; it is auto-complete on steroids.
Sources:.
Machine Learning Models: What They Are and How to Build Them. https://www.coursera.org/articles/machine-learning-models
What is AI? https://www.ibm.com/topics/artificial-intelligence
What are Large Language Models (LLMs)? https://www.ibm.com/topics/large-language-models
What is ML? https://www.ibm.com/topics/machine-learning
What is Deep Learning? https://www.ibm.com/topics/deep-learning
What is artificial intelligence (AI)? Everything you need to know https://www.techtarget.com/searchenterpriseai/definition/AI-Artificial-Intelligence
