Summary

We began the chapter by seeing how OpenAI Generative Pre-trained Transformer models (GPT) are General Purpose Technologies (GPTs). As such, they improve rapidly, and their diffusion is highly pervasive. The Generative AI functionality of OpenAI’s models has opened the horizons for mainstream applications.We continued by examining the improvements in the architecture of GPTs through decoder stacks, scaling, and machine power. These improvements led to the Big Bang creation of ChatGPT, which spread into mainstream everyday lives, pervading applications such as search engines, Office tools, and more.We started with some of the many generative transformer assistants, including ChatGPT, New Bing, GitHub Copilot, Microsoft 365 Office Copilot, and OpenAI’s Playground.Our journey then led to building several examples with the OpenAI GPT-4 API, such as grammar corrections, translations, and more. Finally, we build an example of how Retrieval Augmented Generation (RAG) can...