LLM Neural Networks are a kind of computer system that is modeled after the way that the human brain works. They are made up of many tiny parts, called neurons, that are connected together. Each neuron can take input from other neurons and decide what output to send out based on the input it received. LLM Neural Networks can be taught to recognize patterns or do other tasks by “training” them with lots of data - this is when the computer is given lots of examples of patterns or tasks, and it learns from them. This is like a kid being taught to recognize things or do tasks by looking at examples. After being trained with lots of data, an LLM Neural Network can learn to recognize patterns or do tasks better than a human.