Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business

This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups

and large companies are doing in the space. There will also be a look at the challenges and risk factors.

During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions - which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie - at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos.

The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation.

What You Will Learn

The importance of understanding generative AI

The fundamentals of the technology, like the foundation and diffusion models

How generative AI apps work

How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation.

The risks, downsides and challenges.

Who This Book is For

Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.

這本書將展示生成技術的運作方式和驅動因素。它還將探討應用領域，展示各種初創企業和大型公司在這個領域的實踐。同時，書中也會探討相關的挑戰和風險因素。

在過去的十年中，公司已經花費數十億美元在人工智慧上。但是，重點一直放在將技術應用於預測上，這被稱為分析型人工智慧。這可能意味著你會收到你無法抗拒的TikTok視頻。或者分析型人工智慧可以防止垃圾郵件或詐騙，或者預測包裹何時會送達。雖然這些都是有益的事情，但人工智慧還有更多的潛力。下一個巨大趨勢將是利用技術來創造。例如，你可以拿一本書，一個人工智慧模型就能以非常低的成本將其改編成電影。這就是生成型人工智慧的一部分。它仍然處於初期階段，但發展迅速。生成型人工智慧已經能夠創作引人入勝的博客文章、社交媒體信息、精美的藝術品和引人注目的視頻。

這項技術的潛力是巨大的。它將對銷售、市場營銷、法律、產品設計、代碼生成甚至藥物創造等多個領域有用。

你將學到什麼：
- 理解生成型人工智慧的重要性
- 技術的基礎知識，如基礎和擴散模型
- 生成型人工智慧應用的工作原理
- 生成型人工智慧對法律、市場營銷/銷售、遊戲、產品開發和代碼生成等各個領域的影響
- 相關風險、缺點和挑戰

適合閱讀對象：
- 沒有技術背景的專業人士。主要是企業美國的人（如經理）以及科技初創企業的人，他們需要了解生成型人工智慧以評估解決方案。