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 captivating recent advancement in AI technology, has captured public interest and sparked global enthusiasm, largely propelled by OpenAI's ChatGPT, which astoundingly amassed 100 million users within two months – the fastest user adoption of any technology as of now in humankind. Many enterprises perceive this technology as the pivotal catalyst for the forthcoming wave of digital transformation and automation – as it can create new content and processes that can enhance various business flows. Already, generative AI has been employed to create a range of content, from images, text, and music to more intricate 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

1.4 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

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