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商品描述
The last book on AI you'll ever need. We swear!
AI technology moves so fast that this book is probably already out of date! But don't worry--The Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. You'll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API.
Inside The Complete Obsolete Guide to Generative AI you will find:
- Just enough background info on AI! What an AI model is how it works
- Ways to create text, code, and images for your organization's needs
- Training AI models on your local data stores or on the internet
- Business intelligence and analytics uses for AI
- Building your own custom AI models
- Looking ahead to the future of generative AI
Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AI--and this book--are here to show you how.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your time--and your company's money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen.
About the book
The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, you'll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, you'll build an intuition for how Generative AI can transform your daily work and communication--and maybe even learn how to make peace with your new robot overlords.
What's inside
- The big picture of Generative AI tools and tech
- Creating useful text, code, and images
- Writing effective prompts
- AI-driven data analytics
About the reader
Written for developers, admins, and other IT pros. Some examples use simple Python code.
About the author
David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence.
The technical editor on this book was Maris Sekar.
Table of Contents
1 Understanding generative AI basics
2 Managing generative AI
3 Creating text and code
4 Creating with media resources
5 Feeding data to your generative AI models
6 Prompt engineering: Optimizing your experience
7 Outperforming legacy research and learning tools
8 Understanding stuff better
9 Building and running your own large language model
10 How I learned to stop worrying and love the chaos
11 Experts weigh in on putting AI to work
A Important definitions and a brief history
B Generative AI resources
C Installing Python
商品描述(中文翻譯)
你所需的最後一本人工智慧書籍。我們發誓!
人工智慧技術發展迅速,這本書可能已經過時!但別擔心——完整過時的生成式人工智慧指南仍然是任何想將生成式人工智慧變成工具而非玩具的人的必讀書籍。它將教你如何充分利用人工智慧,無論未來發生什麼變化。你將能夠使用常見的自動化和腳本工具將人工智慧提升到新水平,並通過API訪問原始(且強大的)GPT模型。
在完整過時的生成式人工智慧指南中,你將會發現:
- 足夠的人工智慧背景資訊!什麼是人工智慧模型,它是如何運作的
- 為你的組織需求創建文本、代碼和圖像的方法
- 在本地數據存儲或互聯網上訓練人工智慧模型
- 人工智慧在商業智能和分析中的應用
- 構建你自己的自定義人工智慧模型
- 展望生成式人工智慧的未來
從哪裡開始?如何利用人工智慧創建令人興奮的圖像、視頻,甚至音頻?需要更多嗎?學習如何利用人工智慧加速任何日常工作任務,包括編寫樣板代碼、創建專業文件和分析自己的數據。超越簡單的ChatGPT提示!發現雙倍提高生產力的方法,並承擔你從未想過的項目!人工智慧——以及這本書——將告訴你如何做到。
購買印刷版書籍包括Manning Publications提供的免費PDF和ePub格式電子書。
關於技術
你學到的關於生成式人工智慧工具(如Chat-GPT、Copilot和Claude)的所有知識幾乎會立即過時。那麼,你如何決定將時間和公司的資金花在哪裡?這本有趣且實用的書告訴你現在可以(也應該)用人工智慧做什麼,以及如何隨著變化的發生而調整。
關於這本書
完整過時的生成式人工智慧指南是一本輕鬆的生成式人工智慧入門書,專為技術專業人士和有動力的人工智慧愛好者而寫。在這本書中,你將快速了解用於創建代碼、文本、圖像和簡報的人工智慧技術,處理數據等等。當你探索實作練習時,你將建立對生成式人工智慧如何改變你的日常工作和溝通的直覺——甚至可能學會如何與你的新機器人統治者和平共處。
內容概覽
- 生成式人工智慧工具和技術的全貌
- 創建有用的文本、代碼和圖像
- 編寫有效的提示
- 人工智慧驅動的數據分析
關於讀者
本書是為開發人員、管理員和其他IT專業人士撰寫的。一些範例使用簡單的Python代碼。
關於作者
David Clinton是AWS解決方案架構師、Linux伺服器管理員以及全球知名的過時專家。
本書的技術編輯是Maris Sekar。
目錄
1 理解生成式人工智慧基礎
2 管理生成式人工智慧
3 創建文本和代碼
4 使用媒體資源創作
5 將數據輸入到你的生成式人工智慧模型中
6 提示工程:優化你的體驗
7 超越傳統研究和學習工具
8 更好地理解事物
9 構建和運行你自己的大型語言模型
10 我如何學會停止擔心並愛上混亂
11 專家對人工智慧應用的看法
A 重要定義和簡史
B 生成式人工智慧資源
C 安裝Python
作者簡介
David Clinton is an AWS Solutions Architect and a Linux server administrator. While he has authored two previous books for Manning (as well as books and video courses for other publishers), this is his finest work yet.
作者簡介(中文翻譯)
大衛·克林頓是一位AWS解決方案架構師和Linux伺服器管理員。雖然他曾為Manning撰寫過兩本書(以及為其他出版社撰寫書籍和視頻課程),但這是他迄今為止最出色的作品。