1 Introduction to generative AI

 

This chapter covers

  • An introduction to generative AI
  • Examples of what can be generated using generative AI
  • Guidance for organizations when adopting generative AI
  • Key use cases for generative AI
  • A comparison between generative AI and other AI types

Artificial intelligence (AI) is familiar and has been around for years. We all use it when we use a search engine, read a product recommendation, listen to a curated playlist, or use the suggested words as we type on a phone—all these actions are powered by AI. However, everything seems new in AI today, with the world on fire talking about it, specifically about 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 in 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. Generative AI creates new content and processes that can enhance various business operations. It is already being 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 When not to use generative AI

1.6 How is generative AI different from traditional AI?

1.7 What approach should enterprises take?

1.8 Architecture considerations

1.9 So your enterprise wants to use generative AI. Now what?

Summary

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