Agent Intelligence Through Data Mining

This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, s

本書特色 雲端運算是基於網際網路的運算方式，它通過網際網路為個人使用者或企業使用者提供按需即取的服務。隨著電腦技術的發展，資料的存儲量成倍的增長，Data Mining 技術在“資料海洋、知識荒漠”的背景下應運而生的，並且一經出現就得到各個領域的重視。隨著Data Mining 的逐漸成熟，以Data Mining 為核心的Business Intelligence（BI）已經成為了IT 和其他行

Proven strategies for implementing the right data warehouse and business intelligence solutions for current and future business needs In The Data Warehouse Mentor: Practical Data Warehouse and Busines

In an era where many believe Big Data has rendered human perception and observation 'old-school' or pass', Martin Lindstrom shows that mining and matching technological data with up-close psychologica

《Agent Moose》三度出擊！大洪水襲捲森林，從搶銀行到綁架，各種不為人知的犯罪陰謀也隨著大水一起流入森林。麋鹿偵探和他的貓頭鷹夥伴順著水流，尋找蛛絲馬跡，爆笑破解神秘案件。A daring criminal is making waves in the Big Forest! It’s up to Agent Moose and Owlfred to save the day in this third hilarious graphic novel chapter book from the author of My Big Fat Zombie Goldfish.Agent Moose and not-quite-so-special Agent Owlfred are back and better than ever!Strange flash floods are making waves (and headlines) all over the Big Forest! Someone is pulling off particularly confounding capers and, between the flooding and the heists, Big Forest is in big trouble. When Madame HQ is nabbed right out of a very wet Woodland HQ, Agent Moose and Owlfred must wade through clues to get her back and stop the mystery criminal making a big splash in Big Forest!Can they find this fiendish villian before Big Forest floats away?

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an al

In an upside-down detective tale, Ladybug Girl creators David Soman and Jacky Davis introduce a new picture book character: Agent Lion. When a beloved cat goes missing, Agent Lion is certain he’ll fin

Major General Sir Richard Hannay is the fictional secret agent created by writer and diplomat John Buchan, who was himself an Intelligence officer during the First World War. The strong and silent typ

Data is raw facts and figures and information is meaningful data that would be helpful for a person or company. Business intelligence extracts information from raw data through tools like data mining,

Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence supplies insightful, detailed guidance on fundamental data mining techniques.

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resou

Computational tools or solutions based on intelligent systems are being used effectively in data mining applications. This book, one of a series on the foundations of Computational Intelligence, is fo

本書採「原理 × 實務」並重的編排方式，除了完整說明 AI Agent 的設計思維與運作機制，也透過範例程式與應用案例，協助讀者理解如何建構具備自主規劃、工具使用、記憶管理及多代理協作能力的智慧代理系統。書中除介紹 AI Agent 的核心原理與心智模型外，也實作多種主流框架與開發流程，包含 LangChain、LangGraph、CrewAI、AutoGen、Agentic RAG 等熱門技術，並探討 AI 在企業應用、自動化流程與智慧服務等領域的發展趨勢。此外，本書亦涵蓋 AI Agent 在智慧助理、自動化系統、人機協作等場景的實際應用，適合作為 AI Agent 領域的入門學習與實務參考書籍。

2025，Agent 元年。AI 不再只是回答問題，而是真正幫你把事情做完。這本書帶你認識這個即將改變工作與生活的新夥伴。★ 不用學程式，也能擁有 24 小時待命的數位員工★ 從 ChatGPT 到 AI Agent，一次搞懂「動口」到「動手」的關鍵差異★ 故事導向寫法，讀起來像看小說，不像讀教科書★ 涵蓋生活應用、企業實務、軟體開發，各行各業都適用★ 零程式碼工具教學，帶你親手打造第一個 Agent【第一部：初識】從零開始認識你的數位夥伴‧ 從餐廳 AI 訂位的真實案例，秒懂 Agent 在做什麼‧ ChatBot 只會回話，Agent 會動手做事――本質差異一次講清楚‧ 大腦、手腳、工具箱：用簡單比喻理解 Agent 的基本構造【第二部：理解】Agent 如何思考與行動‧ 感知、思考、行動、反省――Agent 工作循環完整拆解‧ 記憶的藝術：Agent 怎麼記得你說過的話‧ 一個不夠用？多個 Agent 的團隊協作模式【第三部：應用】Agent 正在改變的世界‧ 你的私人秘書：生活中的行程管理、訂餐、訂票‧ 不眠不休的員工：企業客服、銷售、人資自動化‧ 會寫程式的 Agent：軟體開發的革命性變化【第四部：實作】打造你的第一個 Agent‧ 零程式碼工具介紹，不會寫 code 也能做‧ 手把手帶你建立簡單 Agent‧ 讓 Agent 更聰明的實用技巧【第五部：展望】與 Agent 共處的未來‧ Agent 會搶走你的工作嗎？‧ 當 Agent 犯錯，誰該負責？‧ 人機協作新時代，找到你的位置

本書是一本AI智能體（AI Agent）應用與開發的實用手冊。共分6章：認識AI Agent、各具特色的AI Agent平臺、用好AI Agent的關鍵——提示詞（Prompt）、玩轉AI Agent、基於AI平臺定制AI Agent、基於開發工具定制企業級AI Agent。無論技術背景如何，通過本書清晰的指導和豐富的實踐案例，依照書中提供的學習路徑，讀者都能快速掌握AI Agent基本概念和實踐技巧，快速上手AI Agent。本書是智能化的讀物，特別配備了名為“才兔”的專屬AI Agent，可輔助讀者學習閱讀，增強用戶體驗和學習效果。

人工智能時代一種全新的技術——Agent正在崛起。這是一種能夠理解自然語言並生成對應回復以及執行具體行動的人工智能體。它不僅是內容生成工具，而且是連接複雜任務的關鍵紐帶。本書將探索Agent的奧秘，內容包括從技術框架到開發工具，從實操項目到前沿進展，通過帶著讀者動手做7個功能強大的Agent，全方位解析Agent的設計與實現。本書最後展望了Agent的發展前景和未來趨勢。本書適合對Agent技術感興趣或致力於該領域的研究人員、開發人員、產品經理、企業負責人，以及高等院校相關專業師生等閱讀。讀者將跟隨咖哥和小雪的腳步，踏上饒有趣味的Agent開發之旅，零距離接觸GPT-4模型、OpenAI Assistants API、LangChain、LlamaIndex和MetaGPT等尖端技術，見證Agent在辦公自動化、智能調度、知識整合以及檢索增強生成(RAG)等領域的非凡表現，攜手開啟人工智能時代的無限可能，在人機協作的星空中共同探尋那顆最閃亮的Agent之星！

With an increasing concern of personal data privacy in Hong Kong and around the world, the Office of the Privacy Commissioner for Personal Data (PCPD), Hong Kong publishes this third edition of Personal Data (Privacy) Law in Hong Kong: A Practical Guide on Compliance to provide practical guidance on the law of privacy, and the ways to protect personal data in everyday life.This third edition will guide readers through the recent developments of personal data privacy in the local, regional and global contexts with updates on recent Administrative Appeals Board and Court decisions, and investigation reports and materials from the PCPD. In addition, some most-concerned issues are discussed, such as ethical development and use of AI, the collection and use of personal data by employers during COVID-19, data protection under work-from-home arrangements, data security measures for ICT systems, guidelines on doxxing offences and data breach handling. This book will certainly provide readers a

A daring criminal is making waves in the Big Forest! It’s up to Agent Moose and Owlfred to save the day in this third hilarious graphic novel chapter book from the author of My Big Fat Zombie Goldfish. Agent Moose and not-quite-so-special Agent Owlfred are back and better than ever!9781250222213 Agent Moose (精裝本)(graphic novel)A moose secret agent and his owl sidekick solve woodland mysteries in this hilarious new graphic novel chapter book series from the author of My Big Fat Zombie Goldfish. Meet Anonymoose─the best (worst) secret agent in the Big Forest. Along with Owlfred, his slightly more intelligent sidekick, this giant master of disguise has dedicated himself to solving all of Woodland HQ's mysteries!But this mystery is even more important than normal. Anonymoose's rival, Camo Cameleon, is being given a trophy for being the first agent to solve 100 cases─an honor that Anonymoose just barely missed out on!─and Anonymoose is sure that something fishy is going on.The cl

Join the DATA Set on their outrageous adventures with this action-packed collection of books five through eight!DANGER! ACTION! TROUBLE! ADVENTURE!Meet Newtonburg Elementary’s whiz kids: Gabe, Laura,

Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions,

本書打破死背介系詞意義和片語的方式，針對 ．Over/Through/About/Across/By/To/Of.... ．表示場所的In,On,At ．表示時間的In,On,At ．About/Before/During/From/Into/Under/Without.... 先劃出基本圖型，說明各個介系詞的基本意義，再運用「家族樹的臉譜」原理， 將介系詞的各種衍伸用法連繫起來，讓

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricu

Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced co

Data mining applications are becoming a more common part of corporate intelligence systems, and this textbook shows how these techniques are used to preserve historical data as well as predict future

．釐清AI Agent的本質與應用價值，並界定它與RAG、Workflow的區別與聯繫．回顧從傳統代理人到生成式LLM - Agent的歷史演進與主流分類．拆解AI Agent的三大能力與行為決策運行機制．詳解LLM - Agent五大模組：LLM、角色、記憶、規劃、行動．系統說明提示工程、函式呼叫、RAG、微調與訓練／推論優化等核心範式．建立LLM-Agent的能力評估體系與評估方法．橫向比較六大開發框架：LangGraph、CrewAI、Swarm、AutoGen、OpenAI Agents SDK、Google ADK．提供從零打造通用AI Agent的八個步驟與多代理人設計．深入MCP與A2A協定，串接Agent之間的通訊協同．以Coze、Dify、LangGraph實戰，從ReAct走到企業級多代理人落地部署．用DeepSeek模型實作企業級ChatBI與智慧客服，落地電商與金融場景．前瞻多模態、具身智慧、智慧駕駛與AGI，並探討倫理與安全議題【書籍簡介】本書共分 10 章，依「技術原理篇、落地實戰篇、前沿探索篇」三大篇章編排。第一章快速認識 AI Agent，說明其應用價值、本質，以及與 RAG、Workflow 的關係。第二章講解 AI Agent 的基礎原理與關鍵技術，涵蓋三大能力、五大模組與提示工程、函式呼叫、RAG、微調等範式，並介紹能力評估。第三章介紹主要開發框架（LangGraph、CrewAI、Swarm、AutoGen、OpenAI Agents SDK、Google ADK）與從零構建通用 Agent 的步驟。第四章深入 MCP 與 A2A 通訊協同。第五章是實戰一，基於 Coze、Dify 平台並剖析 ReAct 框架構建 Agent。第六章是實戰二，以 LangGraph 完成架構選型、工具呼叫、長短期記憶與企業級多代理人部署。第七章以 DeepSeek 模型打造企業級 ChatBI Agent，落地電商與物流。第八章建構智慧客服系統並應用於金融行業。第九章探索 AI Agent 前沿應用，包含電信開發平台與多模態 Agent。第十章展望 AI Agent 的高階形態、AGI 發展路徑，以及資料隱私、技術侷限與法律合規等倫理與安全挑戰。

隨著 Google Gemini 3 模型以及各式工具推出，在生成式 AI 的世界中 Google 強勢站穩腳步，再加上 Google 生態系的支援，採用 Google Gemini API 開發 AI Agent 是一個相當不錯的選擇。本書主要解說 Google Gemini API 中關鍵的成員，並利用 Python 版本的 Google GenAI SDK 實作範例，還會帶大家設計當前 AI Agent 的趨勢 -- Skills 機制，主題包含：|簡易 Skills 機制|現今 AI Agent 的共用規範標準就是 Skills，我們會帶大家實作一個簡單的 Skills 機制，讓你的 AI Agent 只要透過 markdown 檔，就可以讓非技術人員的一般使用者也可以客製自動化流程，或是搭配 CLI 工具與 MCP 伺服器等擴充模型能力，而不需要倚賴技術人員修改或是撰寫額外的程式碼。|建構彈性的 MCP 系統|即使有了 Skills 機制，也需要能夠實際完成任務的工具，MCP 就是其中之一。除此之外，MCP 也是擴充模型能力的好幫手，書中會設計讓使用者透過設定檔就能幫 AI Agent 串接各式功能 MCP 伺服器的機制，不論是要讀寫檔案、執行本機指令、操控瀏覽器，或是使用遠端 API 等等，都可以方便達成。|Live API|用講的絕對比用打的更快，書中會用 Live API 實作可隨時中斷插話的即時語音系統，讓你的 AI Agent 彷彿真人用講的就可以操控，而且還會自動記錄交談內容，維持前文脈絡，讓一般使用者透過口說介面就可以使用你的 AI Agent。|把 Google 生態系當靠山|網頁搜尋、找地點誰能比得過 Google，利用 Gemini API 內建工具即可直通 Google 搜尋與地圖，即時資訊一點都不漏，為模型補充新知識。|多模態輸入/輸出|讓你的 AI Agent 像是 NotebookLM 那樣看圖、看影片、聽語音，即使是 YouTube 影片，也可以直接丟連結自動處理。此外，透過 Gemini API，也可以用最強的 Nano Banana Pro 生圖、Veo 3.1 生影片通通沒問題。|詳解 Function Calling 機制|不論是要使用 MCP 伺服器或是 Skill 擴充模型功能、建置自動化流程，最終都需要倚賴 Fu

★ 第一本 Google Antigravity 繁體中文完整教學 ★ AI 原生開發環境的核心概念與實戰技巧 ★ Agent 架構：理解 AI 代理人如何替你寫程式、做決策 ★ 多 Agent 協作實戰：同時調度多個 AI 開發夥伴 ★ Editor 進階功能全攻略：Tab 補全、Command 指令、Review Changes ★ Rules × Workflows：自訂規則與自動化流程 ★ Skills 技能擴充系統：為 Agent 安裝新能力，從 SkillHub 市集挖寶 ★ Artifacts 產出物完整解說：掌握 Agent 與你非同步溝通的關鍵橋樑 ★ Browser Subagent：讓 AI 操控瀏覽器，自動測試網頁與擷取資料 ★ MCP 工具整合大全：連接資料庫、專案管理、設計工具，無限延伸 Agent 能力 ★ 兩大實戰專案手把手教學：Python 電商後台 + 雲端 Markdown 編輯器 ★ 涵蓋 FAQ 與疑難排解，少走彎路、快速上手 AI 寫程式已經不新鮮，但 Google Antigravity 要做的遠不只是「幫你補全程式碼」。它以 Agent 為核心，建立了一套全新的開發典範：AI 不再是被動回應的聊天機器人，而是能理解你的專案脈絡、遵守你定義的程式開發標準、自主規劃並執行多步驟任務的開發夥伴。它甚至能操控瀏覽器幫你測試網頁、透過 MCP 協議連接外部工具。開發者的角色正從「程式碼的生產者」轉變為「AI 的指揮者」。本書從開發工具的演進脈絡切入，帶你理解這場典範轉移的全貌，以及 Antigravity 在其中扮演的角色。 全書十六章分為四大篇章，構成一條從零到實戰的學習路線。基礎篇帶你熟悉介面操作，完成第一個 Todo List 專案；核心篇深入 Agent Manager 多代理協作、Editor 的 Tab 補全與 Command 指令、Rules 與 Workflows 自訂規則，以及 Skills 技能擴充系統；進階篇拆解 Browser Subagent 瀏覽器自動化、Artifacts 產出物機制，以及 MCP 工具整合生態――從資料庫、專案管理到設計工具，一次掌握。每一章都搭配大量截圖與逐步操作指引，建議你邊讀邊做，這是上手最快的方式。 學工具最怕停在「知道」卻「做不到」。本書特別規劃了兩個完整實戰專案，幫你把

本書以開發AI Agent(簡稱Agent，中文譯為智能體)為核心，系統梳理了智能體的理論基礎、技術架構、運行機制與工程實現路徑，圍繞大模型驅動下的Agent系統演化展開。全書共12章，內容涵蓋Agent的基礎知識，深入剖析智能體在任務解析、狀態管理、工具調用和輸出生成等環節的核心技術原理。通過多組件協同的視角，詳解消息流、插件系統與知識流三大支柱對Agent能力提升的作用，為理解和構建高適應性、可控性強的智能體系統奠定了扎實基礎。本書強調場景驅動的業務知識準備，詳細介紹了Agent輸入解析、意圖識別、工作流設計、插件調度與異常處理等關鍵流程，並結合主流智能體平臺的產品形態、服務對象及生態演進趨勢，剖析了平臺化、組件化、模型中立性和多Agent協同的最新發展。貫穿全書的多行業落地案例，涵蓋了多種應用場景，系統展示了智能體在實際業務中的創新路徑與變革價值。全書結構緊湊，內容兼顧理論與工程實用性，隨書贈送案例源代碼、授課用PPT等海量學習資源，適合人工智能、數據工程、企業IT、產品管理等領域的技術人員與研究者系統學習。

Big ideas for curious minds are simply explained in this fascinating first introduction to artificial intelligence.Who invented the first artificial intelligence? How do machines listen without ears? And can I use artificial intelligence to talk to my pets?Learn what artificial intelligence is and how it works as you explore its impact on the environment, society and even our own bodies.Discover how artificial intelligence is used all around you, from smartphones and search engines to cars and prosthetic limbs, and how it might be used in the future!Fun, conversational text breaks down complex ideas so they are accessible to young readers.Created in consultation with experts from the University of Cambridge.Colourful and dynamic illustrations bring abstract concepts to life.For more big ideas, don't miss other titles in the series:Think Big: Secrets of BeesThink Big: The Speed of Light

《複合型AI Agent開發:從理論到實踐》以“讓Agent真正落地”為核心目標，系統梳理複合型AI Agent的完整開發路徑。從理論原理到工程實踐，全書通過可運行示例為驅動，幫助讀者在理解架構理念的同時掌握真實可用的落地方案。《複合型AI Agent開發:從理論到實踐》共分為8章，內容涵蓋複合型AI Agent的設計與工程化實現，包括Agent核心三要素解析（LLM、Prompt、Action）、檢索增強生成（RAG）技術、模型上下文協議（MCP）、LangChain框架生態、ChatUI前端交互組件、Coze低代碼平臺，以及系統級架構優化策略等。每章均配備可獨立運行的完整示例，幫助讀者從零構建具備多場景適配與多角色協作能力的現代智能體。《複合型AI Agent開發:從理論到實踐》適合希望深入理解並實踐AI Agent開發的工程師、AI產品開發者、算法研究者及技術創業者。無論是剛接觸大模型應用的入門者，還是期望構建具備真實業務落地能力的工程實踐者，都能從中獲得完整的技術路徑與系統化的實現思維，在生成式AI的時代浪潮中搶佔先機。

Equal parts Sapiens, Behave, and Superintelligence, but wholly original in scope, A Brief History of Intelligence offers a paradigm shift for how we understand neuroscience and AI. Artificial intelligence entrepreneur Max Bennett chronicles the five "breakthroughs" in the evolution of human intelligence and reveals what brains of the past can tell us about the AI of tomorrow. In the last decade, capabilities of artificial intelligence that had long been the realm of science fiction have, for the first time, become our reality. AI is now able to produce original art, identify tumors in pictures, and even steer our cars. And yet, large gaps remain in what modern AI systems can achieve--indeed, human brains still easily perform intellectual feats that we can't replicate in AI systems. How is it possible that AI can beat a grandmaster at chess but can't effectively load a dishwasher? As AI entrepreneur Max Bennett compellingly argues, finding the answer requires diving into the billion-yea

本書介紹每一次新科技的誕生，往往都象徵著新的契機與挑戰。它不僅推動社會進步，也意味著對全新專業人才的需求，並進一步開啟社會財富重新分配的可能。AI Agent的出現，猶如為社會增添了一股全新的勞動力。這股數位勞動力，將使整體生產要素得以提升，進而影響供應鏈的結構與分工。未來的社會，將急切需要能調度AI完成任務的人、能為AI產出結果負責的人，以及能管理AI的人。為了迎接這股浪潮，我們必須提前做好準備，掌握AI的應用與實踐，才能在新型職缺出現時，成為第一波受青睞的人才，並協助企業建立AI Agent的業務流程與管理機制。展望未來，城市的競爭力不再僅依賴於能源與資源，更取決於能否擁有源源不絕的算力，來驅動AI Agent所帶來的數位勞動力。然而，算力基礎設施的建置與維運成本高昂，且隨時間必然面臨折舊。對多數企業而言，自建AI機房是一種奢侈，因此雲端供應商如AWS、GCP，將成為企業部署AI Agent服務體系的首選。也因此，若能同時掌握AWS與AI Agent，不僅能成為為AI Agent提供算力的專業人才，更能成為企業內部負責規劃、設定與管理AI Agent的關鍵角色。這類人才，將是未來社會最為稀缺且核心的工種。本書的撰寫，正是以此為出發點。其主要目標在於協助讀者有效建構AWS上的AI Agent管理體系，並進一步考取AWS-AIF認證。雖然這張認證屬於入門級別，但若能以嚴謹態度準備，便會發現其涵蓋範疇已經足以奠定從事AI Agent應用的知識背景與技術基礎，為未來職涯鋪路。最後值得強調的是，AI Agent勢必將在全球掀起一股熱潮。筆者所在的公司，亦已經將多種類型的工作內容與AI Agent深度結合，無論是重複性任務，抑或創造性工作，皆已展現出巨大的潛能。這意味著，我們正站在一場產業與人才全面轉型的起點。

《大模型Agent開發實踐》系統地講解了大模型智能體(Agent)開發領域的核心技術路徑與代表性實戰案例，涵蓋了從模型部署、知識增強、微調優化到 Agent 系統構建與企業級應用的完整開發流程。本書分為八章，內容包括主流大模型的在線調用與本地部署、基於向量與知識圖譜的 RAG 系統構建、多輪對話與複雜任務規劃的Agent 開發方法，以及大模型高效微調流程。本書還特別介紹了LangChain與LangGraph 兩大主流 Agen框架的功能機制與**實踐。項目案例部分精選了多個企業級實戰場景，如基於GraphRAG的本地知識問答系統、醫學領域的大模型高效微調、B站輿情分析智能體(BiliAgent)等。這些項目緊貼實際需求，解析了模型調用、知識增強、任務規劃、前後端集成等關鍵環節，既展示了大模型 Agent 在不同行業的應用潛力，也為讀者提供了可複用、可擴展的開發參考。

AI Agent是能自主判斷規劃行動並執行任務的代理系統, 不用告訴AI怎麼做, 只要告訴AI要做什麼, AI Agent就會根據內容自己判斷應該使用哪些工具並實際執行完成任務！● 國際新聞好難懂？交給AI Agent幫你翻譯與摘要● 行程安排好麻煩？交給AI Agent幫你到行事曆安排行程● 電腦桌面好雜亂？交給AI Agent幫你整理電腦桌面透過不用寫程式的 No code 工具 make.com, 建立自己專屬的 AI Agent, 人人都能讓 AI 代替你做事。本書會帶大家實作可以『同時』做到這些事的 AI Agent：● 只要在 LINE 中就能要求 AI Agent 完成工作● 透過網址閱讀網頁, 可以摘要、翻譯網頁內容, 也可以根據網頁內容回答問題● 化身為 OneDrive 小助手, 你不用再親自到 OneDrive 上傳與刪除檔案● 能夠使用 Google 搜尋取得最新資訊來回答你提出的問題● 擁有 RAG 的能力, 能夠更準確的根據文件內容提供解答● 作為你的『Google日曆管理人』,可以幫你查看行程, 也能新增、修改與刪除行程● 透過 MCP 管理你的電腦桌面, 說出你想怎麼整理桌面檔案, AI Agent 就能替你完成● 在 LINE 中就能查看 AI Agent 的工作成果, 還能彙整檔案內容向你報告除此之外，還有更多的自動化流程：● Facebook粉絲專頁貼文即時通知● 通知含有人臉的IG貼文● 批次辨識圖片文字● IG貼文自動備分到Notion● LINE即時口譯機器人● 網頁備份機器人● 網頁爬蟲彙整電影票房排行榜資料● 履歷郵件自動篩選

>資 料 不 外 流，模 型 任 你 遊

隨著人工智能技術的蓬勃發展，大語言模型與智能體技術正引領著新一輪的技術革新。《AI Agent智能體與MCP開發實踐:基於Qwen3大模型》聚焦于智能體技術前沿領域，系統闡述AI Agent智能體開發的技術棧及其示例，並剖析5個大型智能體項目案例，幫助讀者深入掌握智能體開發方法。《AI Agent智能體與MCP開發實踐:基於Qwen3大模型》配套示例源碼、PPT課件、配圖PDF文件、讀者微信技術交流群，所有代碼經過測試，均能正確運行。《AI Agent智能體與MCP開發實踐:基於Qwen3大模型》共分16章，內容包括從大語言模型到智能體的演進、Agent開發環境配置、基於陪伴Agent的大模型微調、在線Qwen3大模型的基本使用、RAG與提示工程、Agent架構設計、多Agent跨境電商智能客服實戰、多Agent協作的原生A2A協議詳解、MCP協議與應用詳解、雲上MCP服務的部署與使用、高德地圖MCP服務智能調用實戰、構建個性化的arXiv科研論文MCP服務實戰、基於gradio的雲上MCP服務發佈、基於MCP的旅遊規劃智能體開發實戰、多智能體框架LangGraph與聊天助手實戰、基於LangGraph的高品質住宅投研智能體開發實戰。《AI Agent智能體與MCP開發實踐:基於Qwen3大模型》既適合智能體開發初學者、智能體開發人員、大模型應用開發人員、行業大模型智能體解決方案提供商，也適合高等院校或高職高專院校智能體開發課程的學生。

Intrepid Agent Arthur is off on another mission. This time, he finds himself in the heart of the scorching desert, where he investigates kidnapping and stolen gold. He'll need your help to solve a selection of brain-bending puzzles if he's to save the day once again.

Grab your pick axe and your canary cage - it's time to mine for coal in the Victorian pits! As a British man living in a coal-mining village during the Victorian era, you're forced to endure the dangers, difficulties and despair of working underground in the 1800s. It's gruelling work, with long hours, unpredictable equipment and terrifying conditions. Discover how to get through a day in the pits with a succession of handy hints, such as not forgetting your canary bird and singing mining ballads to keep your spirits high.You'll soon learn that you really wouldn't want to be a Victorian miner! The ever-popular 'You Wouldn't Want to Be' series transports readers to some of the grisliest times and places in history, perfect for reluctant readers! The humorous, first-person narrative approach places children directly in the shoes of some of history's most unfortunate people ever to have lived, great for engaging students with the history curriculum and encouraging further non-fiction read

In this open access book, Carlos Montemayor illuminates the development of artificial intelligence (AI) by examining our drive to live a dignified life. He uses the notions of agency and attention to consider our pursuit of what is important. His method shows how the best way to guarantee value alignment between humans and potentially intelligent machines is through attention routines that satisfy similar needs.Setting out a theoretical framework for AI Montemayor acknowledges its legal, moral, and political implications and takes into account how epistemic agency differs from moral agency. Through his insightful comparisons between human and animal intelligence, Montemayor makes it clear why adopting a need-based attention approach justifies a humanitarian framework. This is an urgent, timely argument for developing AI technologies based on international human rights agreements.The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycolle

Push through and persevere in the most difficult circumstances.In the face of hardship, you need motivation and determination. You need grit. But how do you build it?This book explores how you can persist in even the most trying of situations. With a mix of psychological research, expert advice, and real-life examples, you'll learn how to convince yourself to do hard things, deal with overwhelming feelings and stay calm in the moment, and identify when needing too much grit means it's time to quit.How to be human at work. The HBR Emotional Intelligence Series features smart, essential reading on the human side of professional life from the pages of Harvard Business Review. Each book in the series offers proven research showing how our emotions impact our work lives, practical advice for managing difficult people and situations, and inspiring essays on what it means to tend to our emotional well-being at work. Uplifting and practical, these books describe the social skills that are crit