本書(shū)面向企業(yè)管理者、數(shù)字化轉(zhuǎn)型負(fù)責(zé)人和專(zhuān)業(yè)技術(shù)人員，系統(tǒng)地闡述了DeepSeek 在企業(yè)場(chǎng)景中的落地方法論和技術(shù)實(shí)現(xiàn)指南。全書(shū)從部署方法到行業(yè)集成再到落地應(yīng)用，全面覆蓋環(huán)境搭建與配置、企業(yè)應(yīng)用基礎(chǔ)、提示語(yǔ)設(shè)計(jì)與優(yōu)化、模型微調(diào)與個(gè)性化定制、多模態(tài)數(shù)據(jù)處理與融合、分布式訓(xùn)練、與其他企業(yè)級(jí)專(zhuān)用AI 的結(jié)合、與ERP 等企業(yè)業(yè)務(wù)管理系統(tǒng)的結(jié)合、創(chuàng)建企業(yè)應(yīng)用AI Agent、創(chuàng)建和集成工作流，以及DeepSeek 應(yīng)用驅(qū)動(dòng)產(chǎn)業(yè)轉(zhuǎn)型升級(jí)、面臨的挑戰(zhàn)與應(yīng)對(duì)等相關(guān)議題，旨在幫助讀者實(shí)現(xiàn)從“能用”邁向“用好”，真正構(gòu)建可持續(xù)的企業(yè)AI 能力體系。
高承實(shí)，密碼學(xué)博士，安徽棧谷科技有限公司董事長(zhǎng)，深耕于Web 3、人工智能、元宇宙、數(shù)字化轉(zhuǎn)型等領(lǐng)域。著有《元宇宙進(jìn)化邏輯》《區(qū)塊鏈技術(shù)本質(zhì)與應(yīng)用》《回歸常識(shí)——高博士區(qū)塊鏈觀察》等系列專(zhuān)著；主編《Web 3中的零知識(shí)證明》《區(qū)塊鏈中的密碼技術(shù)》《元宇宙醫(yī)學(xué)》等行業(yè)作品，并撰有《與每個(gè)老百姓密切相關(guān)的穩(wěn)定幣》等科普讀物，構(gòu)建了從學(xué)術(shù)到普及的完整知識(shí)輸出體系。同時(shí)，發(fā)表學(xué)術(shù)論文20余篇，獲得省部級(jí)科技進(jìn)步獎(jiǎng)4項(xiàng)。
第1 章 企業(yè)應(yīng)用入門(mén)···············································································1
1.1 AI 的發(fā)展和DeepSeek 的橫空出世····················································2
1.2 DeepSeek 的核心功能和獨(dú)特優(yōu)勢(shì)······················································6
1.3 DeepSeek 在企業(yè)中的應(yīng)用價(jià)值······················································.10
1.4 企業(yè)部署DeepSeek 需要考慮的因素···············································.12
1.5 企業(yè)部署DeepSeek 的主要環(huán)節(jié)·····················································.26
第2 章 環(huán)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(huán)境搭建與配置·················································.33
2.3 本地部署方式下的環(huán)境準(zhǔn)備與配置·················································.34
2.4 云端部署方式下的環(huán)境準(zhǔn)備與配置·················································.40
2.5 企業(yè)級(jí)部署方式下的環(huán)境準(zhǔn)備與配置··············································.49
第3 章 企業(yè)應(yīng)用基礎(chǔ)············································································.53
3.1 數(shù)據(jù)準(zhǔn)備與預(yù)處理······································································.53
3.2 模型訓(xùn)練與評(píng)估·········································································.60
3.3 模型部署與應(yīng)用·········································································.71
第4 章 提示語(yǔ)設(shè)計(jì)與優(yōu)化······································································.82
4.1 企業(yè)應(yīng)用環(huán)境下提示語(yǔ)設(shè)計(jì)與優(yōu)化的作用········································.82
4.2 不同環(huán)節(jié)下的提示語(yǔ)設(shè)計(jì)與優(yōu)化····················································.85
第5 章 模型微調(diào)與個(gè)性化定制································································.96
5.1 模型微調(diào)··················································································.96
5.2 個(gè)性化定制方法·········································································106
第6 章 多模態(tài)數(shù)據(jù)處理與融合······························································.112
6.1 數(shù)據(jù)采集與預(yù)處理·····································································.112
6.2 特征提取··················································································121
6.3 模態(tài)融合··················································································124
6.4 模型訓(xùn)練與優(yōu)化·········································································131
第7 章 分布式訓(xùn)練·············································································.137
7.1 計(jì)算集群架構(gòu)············································································137
7.2 并行策略··················································································139
7.3 關(guān)鍵技術(shù)優(yōu)化············································································148
7.4 啟動(dòng)分布式訓(xùn)練·········································································161
第8 章 與企業(yè)級(jí)專(zhuān)用AI 的結(jié)合·····························································.165
8.1 與專(zhuān)用AI 結(jié)合的原因·································································165
8.2 與辦公協(xié)作AI 工具釘釘?shù)慕Y(jié)合·····················································169
8.3 與知識(shí)管理工具HelpLook 的結(jié)合··················································175
8.4 智能客服與對(duì)話工具助小咖的結(jié)合·················································181
第9 章 與ERP 等企業(yè)業(yè)務(wù)管理系統(tǒng)的結(jié)合··············································.189
9.1 與企業(yè)業(yè)務(wù)管理系統(tǒng)結(jié)合的特殊性·················································189
9.2 制造業(yè)ERP 系統(tǒng)的特點(diǎn)和不足······················································190
9.3 DeepSeek 可以解決的制造業(yè)ERP 系統(tǒng)問(wèn)題······································192
9.4 DeepSeek 與ERP 系統(tǒng)結(jié)合的方式、方法和步驟································196
9.5 案例························································································207
第10 章 創(chuàng)建企業(yè)應(yīng)用AI Agent·····························································.209
10.1 什么是AI Agent ·······································································209
10.2 AI Agent 作用發(fā)揮的主要領(lǐng)域和適用場(chǎng)景·····································.211
10.3 AI Agent 的結(jié)構(gòu)組成和創(chuàng)建方法··················································214
10.4 基于DeepSeek 創(chuàng)建企業(yè)應(yīng)用AI Agent···········································224
10.5 多Agent 系統(tǒng)··········································································226
10.6 MCP、A2A 和ANP···································································233
第11 章 創(chuàng)建和集成工作流···································································.240
11.1 什么是工作流··········································································240
11.2 工作流的分類(lèi)··········································································244
11.3 工作流的適用領(lǐng)域和場(chǎng)景···························································247
11.4 創(chuàng)建工作流的一般方法······························································249
11.5 基于DeepSeek 創(chuàng)建企業(yè)應(yīng)用工作流··············································255
11.6 基于DeepSeek 集成工作流··························································263
第12 章 DeepSeek 應(yīng)用驅(qū)動(dòng)產(chǎn)業(yè)轉(zhuǎn)型升級(jí)··············································.265
12.1 智能客服系統(tǒng)··········································································265
12.2 質(zhì)量檢測(cè)與預(yù)測(cè)·······································································270
12.3 內(nèi)容推薦與個(gè)性化服務(wù)······························································274
12.4 疾病診斷與治療方案推薦···························································279
12.5 供應(yīng)鏈優(yōu)化與智能調(diào)度······························································282
12.6 智能教學(xué)輔助系統(tǒng)····································································286
12.7 DeepSeek 及應(yīng)用驅(qū)動(dòng)產(chǎn)業(yè)轉(zhuǎn)型升級(jí)··············································290
第13 章 企業(yè)應(yīng)用DeepSeek 面臨的挑戰(zhàn)與應(yīng)對(duì)·······································.303
13.1 數(shù)據(jù)安全與隱私保護(hù)策略···························································303
13.2 模型幻覺(jué)與準(zhǔn)確性問(wèn)題······························································307
13.3 可解釋性與邏輯推理能力不足·····················································312
13.4 長(zhǎng)文本處理和上下文理解的局限··················································314
13.5 領(lǐng)域適應(yīng)性與多語(yǔ)言支持問(wèn)題·····················································316
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