chapter one

1 Introduction to generative AI

 

This chapter covers

  • Introducing generative AI
  • Examples of what can be generated using generative AI
  • Guidance for organizations when adopting generative AI
  • Understanding key use cases for Generative AI
  • Comparing Generative AI to other AI

Artificial Intelligence (AI) is familiar and has been around for years. We all have been using it – when we use a search engine, see a product recommendation, listen to a curated playlist, or use the suggested words as we type on the phone – all these are AI-powered scenarios. However, everything seems new in AI today, with the world on fire talking about AI, specifically Generative AI.

Generative AI, a fascinating and unique advancement in AI technology, has garnered public interest and ignited global enthusiasm. OpenAI's ChatGPT has significantly boosted its popularity, attracting 100 million users within two months – the fastest user adoption of any technology in human history. Many businesses view this technology as the key driver for the next wave of digital transformation and automation. It can create new content and processes that can enhance various business operations. Generative AI has already been used to generate a wide range of content, from images, text, and music to more complex outputs such as design patterns and code. Its potential is vast and exciting, capable of generating almost anything - from new game levels to novel recipes and much more.

1.1 What is this book about?

1.2 What is Generative AI?

1.3 What can we generate?

1.3.1 Entities extraction

1.3.2 Generating text

1.3.3 Generating Images

1.3.4 Generating Code

1.3.5 Ability to solve logic problems

1.3.6 Generating Music

1.3.7 Generating Videos

1.4 Enterprise Use Cases

1.5 How is Generative AI different from Traditional AI?

1.6 What approach should Enterprises take?

1.6.1 Architecture Considerations

1.7 So, your enterprise wants to use generative AI...what now?

1.8 Summary

1.9 References