A machine learning algorithm is a procedure that is implemented in code where the output is not defined by the programmer but computed based on the provided training data. The result of these algorithms is called a [[machine learning model]], and can, in general, be improved by training it on a larger dataset. [[reinforcement learning from human feedback]] < [[Hands-on LLMs]]/[[1 Machine Learning Basics]] > [[machine learning model]]