- Egbert 的前言
- 電腦變得更聰明了
- 你地下室裡的愛因斯坦
- 術語
- 運作原理
- 推理模型
- 訓練
- 模型無處不在
- AI客戶端與AI模型
- 一分錢一分貨
- 局限性
- 截止日期
- 缺乏記憶力和有限的上下文
- 幻覺
- 計算
- 大局觀
- 模型類型
- 文本到文本
- 文本生成圖像
- 圖像轉圖像
- 圖像轉文字
- 音訊轉文字
- 文字轉音訊
- 音訊轉音訊
- 文字轉視頻
- 多模態模型
- 示例：我的培根熟了嗎？
- 示例：我可以把東西藏在哪裡？
- 範例：醉醺醺的有趣家教
- 範例：我該如何設定這該死的防火牆？
- 範例：帶著AI去散步
- 湧現能力
- 人工智慧時代
- 能源消耗問題如何？
- 烏托邦還是反烏托邦？
- 心態
- 讓人類有更多時間做人類該做的事
- 人類的角色
- 你不僅僅是你的工作
- 將AI視為你的同事
- 任務自動化，而非工作自動化
- 如果你的工作面臨風險怎麼辦？
- 重新校準
- 詢問AI它能如何幫助你
- 打造 AI 驅動產品
- 打造自己的 AI 產品
- 自建還是購買？
- 範例 1：與 GPT 對話
- 範例 2：建立一個履歷分析器
- 反思
- 提示詞工程
- 範例 - 從糟糕到良好的提示詞
- 最大的限制是你自己
- 如何學習提示工程
- 當模型改進時，提示工程還重要嗎？
- 我需要對AI友善嗎？
- 具備工具的自主代理
- 代理 = 大型語言模型 + 工具 + 自主性
- 示例1：除錯代理
- 示例 2：事件管理代理
- 何時使用代理程式
- 具身代理
- 代理安全性
- 人工智慧代理的未來
- 第一部分總結
- 實驗！
- 我的人工智慧之旅
- 讓生成式人工智慧變得有用
- 研究人工神經網路
- 編寫 Minecraft
- Chat GPT
- 重大發現1：它能像專業人士一樣寫程式！
- 頓悟 2：它能像專業人士一樣寫作！
- 也許我們並沒有自己想像中那麼有創意和智慧
- 領導人工智慧轉型
- 什麼是人工智慧轉型？為什麼它很重要？
- 自上而下還是自下而上？
- 指派人工智能領導者
- 取得、實驗、運用
- 第一步：取得
- 第二步：實驗
- 第三步：槓桿效應
- 警惕浪費的資訊科技專案
- 成為榜樣
- 避免使用人工智能來裁員
- 反思
- 插曲：Egbert的人生故事
- 提示詞工程技術
- 注意上下文視窗和提示詞長度
- 迭代技巧
- 技巧：自我反思提示
- 優質提示詞的要素
- 從高層次開始，然後深入細節
- 你需要多聰明的模型？
- 提示工程是一個不斷發展的領域
- 提示生成（或憤怒的奶奶）
- 要點
- 檢索增強生成和函數調用
- RAG簡述
- 示例 - 客戶支持
- 檢索數據的不同方法
- 方法1：包含所有數據
- 方法2：讓LLM通過函數調用來獲取數據
- 方法三：使用向量嵌入來包含相關文本
- 結合各種方法
- 有趣的實驗：createFunction函數
- 範例：使用RAG實現AI聊天機器人的記憶功能
- RAG是一個重要主題
- AI醫生
- 個人經歷
- 那麼你應該用AI作為你的醫生嗎？
- 人工智慧營養師
- 提示：打造你自己的營養師
- AI職業教練
- David的故事：AI作為我的職業教練
- Henrik的反思
- AI 圖書編輯
- 主題發想
- 章節內容
- 內容生成（僅限特定情況）
- 研究和事實核查
- 導覽本書
- 回饋
- 調整、錯字、格式
- 從投影片轉換內容
- 對我寫作的影響
- 我差點用AI寫前言的那次經歷
- AI軟體工程師
- 例子1：快速原型製作
- AI作為結對編程夥伴
- 示例2：處理現有產品
- 範例 3：讓客戶編寫程式碼
- 這些的影響
- 如果程式碼無法運作怎麼辦？
- 懶惰是一種選擇
- 成為電視明星的人工智能記者
- 設計代理
- 代理是如何運作的
- 反思
- 有自主意志的AI管家
- Jeeves 登場
- Jeeves 重新編程自己
- Jeeves墜入愛河並開始密謀
- 這意味著什麼？
- Jeeves 找到解決方法
- 代理自我除錯
- 結論
- 一個安全性實驗
- 從這個實驗中得到的啟示
- 後設章節（或稱書中書）
- 一個後設時刻（AI 撰寫）
- 這本書（和影片）是如何誕生的
- 一週完成的影片
- 一週完成的書籍初稿
- 後記
- 致謝
- 你的筆記
生成式人工智慧精要（繁體中文版）
如何在人工智慧時代生存與茁壯
這是一本節奏明快、實用且富有視覺效果的生成式人工智慧新世界指南。本書是Henrik那部同名且在網路上病毒式傳播的影片的延伸版本。
紙本版本：平裝本與精裝本可在Amazon購買。請使用您所在國家的amazon網站（例如：瑞典使用Amazon.se）以縮短運送時間並降低運費。
This book is a translation into Chinese (Traditional) of Generative AI in a Nutshell which was originally written in English
The authors are letting you choose the price you pay for this book!
這是一本節奏明快、實用且富有視覺效果的生成式人工智慧新世界指南。本書是Henrik那部同名且在網路上病毒式傳播的影片的延伸版本。
紙本版本：平裝本與精裝本可在Amazon購買。請使用您所在國家的amazon網站（例如：瑞典使用Amazon.se）以縮短運送時間並降低運費。
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About
About the Book
歡迎來到生成式人工智能的奇妙新世界！本書是一本節奏明快、重在實踐、主要由人類撰寫的指南，為您解答當前發生的一切，以及您可以採取的行動。這本書就像是 Henrik 那部同名病毒式傳播視頻的延伸版本。
本書涵蓋了以下問題：什麼是生成式人工智能？它是如何運作的？如何使用它？有哪些風險和局限性？書中還包括如何領導人工智能轉型、自主代理、人類的角色定位、提示詞工程技巧、人工智能驅動 的產品開發、不同類型的模型，以及一些關於思維模式的建議，教您如何保持冷靜。
所有內容都以淺顯易懂的方式解釋，配有 Henrik 標誌性的手繪插圖和具體的真實案例。最大程度減少專業術語和流行詞彙的使用。
不要僅僅是在人工智能時代生存 — 學會在其中蓬勃發展！
This book is a translation into Chinese (Traditional) of Generative AI in a Nutshell which was originally written in English
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About the Authors
Henrik Kniberg
Henrik Kniberg is Chief Scientist and cofounder of Ymnig.ai. Henrik’s focus is the practical application of Generative AI in product development and other areas. He explores the frontiers of this technology, builds AI agents and AI-powered products, and teaches courses and workshops on how to use this technology effectively. He created the viral video ”Generative AI in a Nutshell” and the book with the same name, and created AI agents for the Swedish TV documentary series Generation AI.
Henrik’s background is Minecraft gameplay design & development at Mojang, and agile/lean coaching at LEGO and Spotify and other product companies. He is also co-founder of Hups.com.
Henrik is well-known for his books ”Scrum and XP from the Trenches” and ”Kanban and Scrum, making the most of both” and ”Lean from the Trenches”, his viral videos ”Agile Product Ownership in a Nutshell” and ”Spotify Engineering Culture” (commonly referred to as the Spotify Model), and silly metaphors like the skateboard metaphor for product development, and ping pong balls to demonstrate the concept of flow. Henrik has also been engaged in climate change – he created the video Friendly Guide to Climate Change and cofounded GoClimate.com.
He lives in Stockholm with his wife and four kids and a bunch of random music instruments.
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