Azure OpenAI Service for Cloud Native Applications

Introduction

Artificial intelligence is finally here. While it was certainly already among us, we can consider the 2020s as the beginning of a new era for modern, more accessible, and powerful artificial intelligence.

If you are reading this book, you probably already know that AI is not a new concept. It’s been several decades since its first appearance (at least as a concept, during a very famous university conference in the United States), and we can now say that people from almost all walks of life are beginning to understand the potential and considerations of artificial intelligence. After several AI summers and winters and cycles of hype and deception, the promise of AI value for companies and individuals is finally here, and terms such as generative AI, generative pre-trained transformer (GPT), and large language model (LLM) are everywhere.

The arrival of AI-enabled tools such as OpenAI’s ChatGPT, Midjourney, and the new Microsoft Copilot engine is facilitating the interaction between people and the algorithms. Even more, the generative AI wave can be considered a democratizing element for mainstream AI adoption, due to its unique value for natural language–based communication.

And this is not only for the general public. Companies, politicians, governments, observatories, startups, etc. are all talking about generative AI, adopting the technologies to improve their services to clients and citizens, analyzing its potential, and thinking about future AI regulations.

That’s ...