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本書面向企業管理者、數字化轉型負責人和專業技術人員，系統地闡述了DeepSeek 在企業場景中的落地方法論和技術實現指南。全書從部署方法到行業集成再到落地應用，全面覆蓋環境搭建與配置、企業應用基礎、提示語設計與優化、模型微調與個性化定制、多模態數據處理與融合、分布式訓練、與其他企業級專用AI 的結合、與ERP 等企業業務管理系統的結合、創建企業應用AI Agent、創建和集成工作流，以及DeepSeek 應用驅動產業轉型升級、面臨的挑戰與應對等相關議題，旨在幫助讀者實現從“能用”邁向“用好”，真正構建可持續的企業AI 能力體系。
目錄大綱
第1 章 企業應用入門···············································································1
1.1 AI 的發展和DeepSeek 的橫空出世····················································2
1.2 DeepSeek 的核心功能和獨特優勢······················································6
1.3 DeepSeek 在企業中的應用價值······················································.10
1.4 企業部署DeepSeek 需要考慮的因素···············································.12
1.5 企業部署DeepSeek 的主要環節·····················································.26
第2 章 環境搭建與配置·········································································.28
2.1 共性工作··················································································.28
2.2 不同部署方式下的環境搭建與配置·················································.33
2.3 本地部署方式下的環境準備與配置·················································.34
2.4 雲端部署方式下的環境準備與配置·················································.40
2.5 企業級部署方式下的環境準備與配置··············································.49
第3 章 企業應用基礎············································································.53
3.1 數據準備與預處理······································································.53
3.2 模型訓練與評估·········································································.60
3.3 模型部署與應用·········································································.71
第4 章 提示語設計與優化······································································.82
4.1 企業應用環境下提示語設計與優化的作用········································.82
4.2 不同環節下的提示語設計與優化····················································.85
第5 章 模型微調與個性化定制································································.96
5.1 模型微調··················································································.96
5.2 個性化定制方法·········································································106
第6 章 多模態數據處理與融合······························································.112
6.1 數據采集與預處理·····································································.112
6.2 特征提取··················································································121
6.3 模態融合··················································································124
6.4 模型訓練與優化·········································································131
第7 章 分布式訓練·············································································.137
7.1 計算集群架構············································································137
7.2 並行策略··················································································139
7.3 關鍵技術優化············································································148
7.4 啟動分布式訓練·········································································161
第8 章 與企業級專用AI 的結合·····························································.165
8.1 與專用AI 結合的原因·································································165
8.2 與辦公協作AI 工具釘釘的結合·····················································169
8.3 與知識管理工具HelpLook 的結合··················································175
8.4 智能客服與對話工具助小咖的結合·················································181
第9 章 與ERP 等企業業務管理系統的結合··············································.189
9.1 與企業業務管理系統結合的特殊性·················································189
9.2 制造業ERP 系統的特點和不足······················································190
9.3 DeepSeek 可以解決的制造業ERP 系統問題······································192
9.4 DeepSeek 與ERP 系統結合的方式、方法和步驟································196
9.5 案例························································································207
第10 章 創建企業應用AI Agent·····························································.209
10.1 什麼是AI Agent ·······································································209
10.2 AI Agent 作用發揮的主要領域和適用場景·····································.211
10.3 AI Agent 的結構組成和創建方法··················································214
10.4 基於DeepSeek 創建企業應用AI Agent···········································224
10.5 多Agent 系統··········································································226
10.6 MCP、A2A 和ANP···································································233
第11 章 創建和集成工作流···································································.240
11.1 什麼是工作流··········································································240
11.2 工作流的分類··········································································244
11.3 工作流的適用領域和場景···························································247
11.4 創建工作流的一般方法······························································249
11.5 基於DeepSeek 創建企業應用工作流··············································255
11.6 基於DeepSeek 集成工作流··························································263
第12 章 DeepSeek 應用驅動產業轉型升級··············································.265
12.1 智能客服系統··········································································265
12.2 質量檢測與預測·······································································270
12.3 內容推薦與個性化服務······························································274
12.4 疾病診斷與治療方案推薦···························································279
12.5 供應鏈優化與智能調度······························································282
12.6 智能教學輔助系統····································································286
12.7 DeepSeek 及應用驅動產業轉型升級··············································290
第13 章 企業應用DeepSeek 面臨的挑戰與應對·······································.303
13.1 數據安全與隱私保護策略···························································303
13.2 模型幻覺與準確性問題······························································307
13.3 可解釋性與邏輯推理能力不足·····················································312
13.4 長文本處理和上下文理解的局限··················································314
13.5 領域適應性與多語言支持問題·····················································316
