PreP models

Pre-trained (PreP) models are advanced artificial intelligence systems that are initially trained on large datasets to learn language patterns, vocabulary, and context. This foundational knowledge enables them to perform a variety of tasks—such as answering questions, translating languages, or summarizing texts—more effectively. Think of it like a student who, after extensive study, can quickly adapt to specific assignments. PreP models, like GPT, are designed to understand and generate human-like text, making them versatile tools in many applications without needing to be trained from scratch for each new task.