OpenAI GPT Models

Introduction

OpenAI Generative Pre-trained Transformer (GPT) models are a series of transformer architecture based language models trained on a large corpus of text data to generate human-like text developed by OpenAI. Since the rise of transformer model, OpenAI has been continuing on the track of optimizing the GPT models using larger and better datasets, improved neural network modules, human supervision and assistance, and other innovations.

As of 2023, the latest GPT model, ChatGPT, has become the most popular application in the world that helps the users solving problems in different specialized domains. In this article, I would like to discuss the evolution of OpenAI GPT models and their technical details.

Prerequisites

There are a couple of prerequisites for understanding the GPT evolution, including the transformer model, language modeling, and natural language processing task specific fine-tuning.

Transformer

The transformer model is the key neural network architecture for the OpenAI GPT models. To learn the transformer model, if you have not done so, please read my previous article “Transformer Explained in One Single Page” for transformer basics and “Transformer Autoregressive Inference Optimization” for in-depth understanding of the transformer decoder autoregressive decoding process.