Pretraining is the initial, foundational phase in developing a large language model (LLM). During this stage, the model is exposed to vast amounts of text and code from the internet, learning general language patterns, grammar, facts, and reasoning abilities without explicit human supervision. It's an unsupervised learning process that builds the model's core knowledge and predictive capabilities.