An Introduction to GPT Models

“Generative Pre-trAIned Transformer (GPT) models are advanced artificial intelligence (AI) systems designed to understand and generate human-like text based on the information they ve been trAIned on. These models can perform a wide range of language tasks from writing stories to answering questions by learning patterns in vast amounts of text data.

In this course you will dive into the world of GPT models and the foundational models that are pivotal to the development of the GPT-n series. You will gain an understanding of the terminology and concepts that make GPT models outstanding in performing natural language processing tasks.

Next you will explore the concept of attention in language models and explore the mechanics of the Transformer architecture the cornerstone of GPT models.

Finally you will explore the detAIls of the GPT model. You will discover methods used to adapt these models for particular tasks through supervised fine-tuning (SFT) reinforcement learning from human feedback (RLHF) and techniques such as prompt engineering and prompt tuning. “