2024年GenAI重塑數(shù)字經(jīng)濟報告-73正式版

GenAIReshapingtheDigitalEconomy

UnderstandingGenerativeAIandunlockingitspowerforasafeandsustainable

DigitalEconomy.

TABLEOF

CONTENTS

ExecutiveSummary

04

Introduction

07

1.1ArtificialIntelligence(AI)&GenerativeAI

07

1.2GenerativePre-TrainedTransformer(GPT)

10

1.3GenerativeAITools

11

1.4GenAI&DigitalEconomy

14

BackgroundandHistoryofGenerativeAI&anditstools

17

2.1History

17

2.2CharacteristicsofGenAITools

20

2.3GenAI-BasedSystemsBack-EndOperations

21

2.4ResearchGaps,andOurContribution

22

ApplicationsofGenerativeAIanditsTools

23

3.1PublicSector

24

3.2PrivateSector

25

GenerativeAIModelsandDigitalEconomy

27

4.1FinancialSector,IncludingCustomerOperations.

30

4.2HealthSector

31

4.3EducationSector

33

4.4MarketingandSales

34

4.5ClimateChange

35

4.6AgricultureSector

36

4.7ProductAndServicesR&D

4.8MiscellaneousSpectrumofGenerativeAIanditsTools

37

38

2

ChallengesofGenerativeAI&itsTools

39

5.1EthicalChallenges

40

5.2GenericChallenge

45

RecommendationsonGenAItoRevolutionizeTheDigitalEconomy

47

6.1FormulationofHolisticEthicalGuidelinesandFrameworksFor

GenAI-BasedTools

47

6.2EarlyGenAIAdoptionByTheBusinessCommunity

49

6.3DevelopmentofNationalGenerativeAIStrategy

52

6.4IncentivesforGenAI

53

6.5DisclosureofGenAI,anditsTools,LikeChatGPT,StatusasanAI

LanguageModel

54

6.6GenAIStandardsandPrinciples

55

6.7SignificantDigitalLiteracyGenAI

56

6.8ResearchonGenAI,IncludingLlms

57

6.9UseOpen-SourceGenAIModels

58

6.10EstablishmentofCooperativeInfrastructureForGenAIModels

59

6.11GlobalCooperationforGenAIForGood

60

6.12GenAITechFirms’CommitmentWithTheOtherStakeholders,

IncludingGovernments.

61

6.13ConstitutionofAnIndependentAuthoritytoMonitorandAnalyze

GenAIToolsPerformance.

61

GenerativeAITools,LikeChatGPT,Limitations

62

Conclusion

63

Contributors

65

Bibliography

66

Disclaimer

Thiswhitepaperisaworkingpaper,andhenceitrepresentsresearchinprogress.ItdoesnotnecessarilyreflecttheofficialviewsoftheDCOMember

States,northeofficialpositionofanystaffmembers.Alleffortsweremadetocompiledatathatisasaccurateandasrecentaspossiblebasedon

availableinternationalsources.TheDCOdoesnottakeanyresponsibilityfordatathatmaybeinaccurate.Thenamesofcompanies,entities,products,

services,etc.mentionedinthisdocumentarenotintendedasanendorsementorreferraltobytheDCO,itsMemberStatesorstaffmembers.Theyare

sortedalphabeticallyandnotinorderofpreference.

Allimagesinthiswhitepaperaregeneratedbyartificialintelligencetoolsthroughspecificprompts,withmanualeditsappliedafterwards.

?2024,theDigitalCooperationOrganization,allrightsreserved

3

EXECUTIVE

SUMMARY

GenerativeArtificialIntelligence(GenAI)isanemergingandgroundbreakingareaof

ArtificialIntelligence(AI)thatcreatesandunderstandsqualitytext,images,audio,videos,

3Dmodels,andothercontentfromtrainingdatasets.

Generally,AIisaparadigm-shiftingideathatentailsthecreationofintelligentcomputers

capableofcarryingouttasksthatordinarilydemandhumanintelligence.AIincludesa

varietyoftechnologiesandmethodologies,likecomputervision,deeplearning,natural

languageprocessing,andmachinelearning.AIsystemsusedatatoidentifypatterns,

makechoices,andtakeactiontoreachpredeterminedobjectives.AI,includingtheGenAI,

canincreaseproductivity,accuracy,andefficiency,loweringcostsandimprovingcustomer

satisfaction.Virtualassistants,chatbots,recommendationsystems,andautonomous

vehiclesarejustafewexamplesofAI-poweredapplicationsthatarealreadyimpacting

thedigitaleconomy.

GenAIcangeneratesubstantiallyrationalandcomplexcontentthatmimicshuman

creativity,makingitavaluabletoolfornumerouseconomicareas,likeentertainment

includinggamedesign,moviemaking,andproductdesign,etc.GenAIisbasedonGPT

(GenerativePre-trainedTransformer),atypeofLargeLanguageModel(LLM),andit

utilizesdeeplearningtogeneratehuman-like,conversationaltext.TheLLMsaregeneral-

purposetechnologies,andtheirversatilityallowsthemtobeappliedindiversescenarios.

TherearevariousGenerativeAItoolsapartfromOpenAIChatGPT.Thefollowingarethe

examplesofGenAItools:Chatsonic,GoogleAIbard,LLM-Augmenter,MicrosoftDynamics

365Copilot,MicrosoftnewBing,SalesforceEinsteinGPT,andYouChat.However,this

papermainlyconcentratesontheGenAItoolChatGPT.ChatGPTisoneofthemostpopular

applicationsofGenerativeAIthatprocessesnaturallanguageprompts,offersdetailed

responses,andassiststheusersincompletingthetaskslikecomposingemails,essays,

andevenprogrammingcodes.

ThemechanismthatpowerstheGenAItool‘ChatGPT’includestraining,inputprocessing,

inference,andresponsecreation,amongothersteps.Itisaconversationalagent

drivenbyGenAIthatsignificantlyimpactsthedigitaleconomybyrevolutionizingclient

relationships,enhancingoperationaleffectiveness,andspurringbusinessexpansions.

4

SuchGenAItoolsimprovethecustomerexperiencebyofferingindividualizedand

interactivesupporttwenty-fourhoursadaywithitscapacitytocomprehendandprovide

human-likeresponses.

TheGenAItools,likeChatGPT,forexample,serveasvirtualassistantsorcustomer

supportrepresentativesforbusinesses,providingon-demandassistance,respondingto

inquiries,andassistingwithpurchasingdecisions.Thisresultsinincreasedconsumer

involvement,contentment,andloyalty.Suchinnovativetoolsimproveoperationalefficiency

byautomatingrepetitiveoperationsandofferingpromptandaccurateresponses,saving

enterprisestime&resources,andincreasesaleproductivitytogeneratebusinessfirms’

revenues,andtocontributeforthegrowthofdigitaleconomy.

ItisimportanttorememberthatGenerativeAI-basedapplications,likeChatGPT,relyon

statisticalpatternsdiscoveredfromtrainingdataandcannotalwaysproduceflawlessor

contextuallyrelevantresponses.Themodel’scapabilitiesarecurrentlybeingimproved,

andissueswithlanguageunderstanding,interpretingcontext,andcreatinghigh-quality

responsesarebeingaddressed.Additionally,extrastepsaretakenduringthefine-tuning

anddeploymentstagestocustomizeandoptimizeGenAItools,likeChatGPT,forvarious

applications,domains,orusecases.Thisentailsfurtherdomain-specificdatasettraining

anditerativeadvancementsbasedonuserinputandactualuserinteractions.

DespitenumerouschallengesofGenAItools,includingethicalchallenges,itiscaptivating

VentureCapital(VC)investors’attention,andtheyarefinancingtheGenerativeAIstartups.

Besidesthat,allotherstartupssawa24%dropininvestment.Globally,investmentsin

GenAIareexpectedtohitUSD42billionbytheendof2023[1].Forexample,MistralAI,a

Paris-basedstart-upjustamonthold,pickedupUSD110millioninseedfundingtobuild

andtrainaGenerativeAImodel.

Similarly,SalesforceVenturesannouncedexpandingitsGenerativeAIFundtoUSD500

million,upfromUSD250millioninMarch2023[2].Inarecentreportontheeconomic

potentialofGenAI,itismentionedthatGenAIcandeliveratotalvalueintherangeof

USD2.6trilliontoUSD4.4trillionineconomicbenefitsannuallywhenappliedacross

industries.Theyfurtheraddedthatitwouldadd15to40%totheUSD11.0trillionto

USD17.7trillionofeconomicvaluethattheynowestimatenongenerativeartificial

intelligenceandanalyticscouldunlock[3].Thegovernments,businesscommunity,and

eventhecreatorsofsuchGenAI-basedtoolswanttoestablishcollaborationtoformulate

abalancedregulatoryframework,standards,andprinciplestomanagethechallengesof

GenAItoolstoreapmaximumbenefitsfromthisnoveltechnology’simpactonproductivity

thatcouldaddhandsomefinancialvalue,intheformoftrillionsofdollars,tothedigital

economy[4][5],[3].

5

Wenotednumerouschallenges,includingethicalchallenges,likelackofdatasecurity,

accountability,transparency,digitalliteracy,andprivacyregardingGenAItoolsthatcould

riseinequality,increasecopyrightinfringements,embedbiasesintrainingdata,reduce

reliability,enhancediscrimination,andtoxicityofissues,lackofholisticregulatory

framework,inadequateNationalStrategyandPolicyforGenAItools,non-availabilityof

complete,andqualitydata.Weexplainsuchchallengesintheforthcomingsectionsof

thispaper.

Wealsoproposeasetofrecommendations,includingregulatory,andstrategy

recommendationsbasedontheinvestigationofliterature,throughSystematicLiterature

Reviewmethod,andinformalinteractionsoftheauthorswithindustryexperts.The

recommendationsthatinclude,butarenotlimitedtothefollowing:formulationofethical

guidelines,andframeworkforGenAItools,earlyAIadoptionbythebusinesscommunity,

includingretailandconsumerpackagedgoods(CPG)industry,health,andeducation,

andbankingsectorsinvariousareasforbetterimpactontheirbusinessfunctions,

formulationofnationalGenAIstrategy,incentivesforGenAIatlevelsfordevelopment,

testing,andadoptionofsuchtechnologiesbasedtools,createawareness,anddigital

literacyaboutGenAItoolstotacklemisconceptionaboutGenAImodels,developmentof

suitablestandards,andprinciplestosafeguardagainstsideeffectsofGenAItools.We

havementioneddetailsabouteachproposedrecommendationintheforthcomingpaper

sections.[6].

GenerativeAI,anditstools,likeChatGPT,areatthelipsofeveryEntrepreneur,Venture

Capitalist,CEO,Journalists,policymaker,andindividual.Itisalsocriticalforthemto

makecollaborativeeffortstobalanceinnovationandregulatorymeasurestomanage

GenAItoolssideeffects.Moreover,itisequallyimportantnottostifleinnovationandthe

potentialimpact,includingpossibleeconomicimpactsthatGenAIbringstobusinesses

andsociety.

AIisattheheartoftheDigitalCooperationOrganization(DCO)agenda.Incontinuation

ofexistingeffortsonAItechnologies,theDCOiscurrentlyinplanningstagesforthe

introductionofseveralinitiatives,suchasdevelopmentofAItoolkittoassisttheDCO

MemberStatesontheAIreadinessandadoptionofAIintoaMemberStatebusiness

systemtoimproveproductivity,qualityofservices,andefficiencyacrossvarious

governmentdepartments.

6

INTRODUCTION

1.1ArtificialIntelligence(AI)&GenerativeAI

TheadventofArtificialIntelligence(AI)hasreformedthefashionbusinessesoperateinthe

digitaleconomyindifferentsignificantways,namely,automation&efficiency,data-driven

decision-making,customercare,intelligentvirtualassistants,processoptimization,

advancedfrauddetection&security,etc.AIisthemostfundamentaltransformative

emergingtechnology,andithasthepotentialtoaddressmostofthecriticalissueswe

face,likeclimatechangeandthedigitaldivide.

AI,includingGenAIarethesimulationofhumanintelligencebymachines,particularly

computersystemsusinghigh-levelalgorithms,toperformtasksthatwouldotherwise

requirehumanintelligence[7].

AIhaspotential

tohasapositive

impacton

79%oftheUN

SDGstargets[8].

WepromotetheuseofAIasitfacilitatesdelivering

high-qualitygoodsandservicesinvarioussectors,

likehealth,education,economy,justice,agriculture,

etc.,toachieveSDGsby2030[9],[8].Figure1portrays

arelationshipbetweenAIandGenerativeAI.

7GenAIReshapingtheDigitalEconomy

NaturalLanguageProcessing(NLP)is

anareawithinthedisciplineofAIthat

empowersmachineswiththecapacityto

read,comprehendandextractmeaning

fromhumanlanguages.Themain

goalofNLPistofillthegapbetween

howhumanscommunicateandhow

computersunderstand.Someessential

researchtasksinNLPincludeautomatic

summarization,co-referenceresolution,

discourseanalysis,machinetranslation,

morphologicalsegmentation,namedentity

recognition,andpart-offspeechtagging.

ArtificialIntelligene

MachineLearning

DeepLearning

GenerativeAI

ChatGPT

NLPcanbeclassifiedintotwosections.ThefirstsectionisNaturalLanguage

Figure1:RelationshipbetweenAIandGenerativeAIUnderstanding,whichempowersmachines

tounderstandandanalyzenaturallanguagebyextractingconcepts,emotions,keywords,

andotherelementstofacilitateunderstandingofthecontextdeliveredbyhumanlanguage.

ThesecondsectionisNaturalLanguageGeneration(NLG)whichinvolvesgenerating

meaningful,rational,andfluentphrases,sentences,andparagraphs,likehuman-

producedcontent,basedoninternalrepresentation.TheNLGisanimportantareaof

GenerativeAI.

GenerativeAI(GenAI)isakindofArtificialIntelligencethatcancreatenewcontent,liketext,

images,audio,videos,programmingcode,3Dmodels,etc.[10],[11].GenAIisalsoknownasa

machine-learningframework[10],asetofalgorithms[12],andadeep-learningmodel[11].

TheGenAIalgorithmsareconstructedontopoffoundationmodelstrainedonamassive

amountofrawdatainaself-supervisedwaytodiscoverunderlyingpatternsforabroad

rangeofjobs.GenAI-basedsystems,likeChatGPT,generatevalidtext,likehuman-

generatedtext.

ThefollowingarethemostnotableapplicationsofGenAI:

ChatGPTDALL-E

8GenAIReshapingtheDigitalEconomy

ChatGPTisanAIChatbotthatreliesonLargeLanguageModels(LLM),likeGPT3.5and

GPT4,trainedonvastvolumesoftextforthepurposeofrespondingtoqueries,text

summarization,andsentimentanalysis.

DALL-E,amultimodalfoundationmodel,canbeutilizedtocreateimages,expandimages

beyondtheiroriginalsize,oralterexistingpaintings.Intherecent-past,OpenAI(developer

ofChatGPT)alsoreleasedDall-E2,anewversionofDALL-E,whichisimprovedonthe

methodsusedforitsfirstgenerationtocreatemorehigh-endandphotorealisticimages.

SuchkindofGenerativeAIhasthepotentialtosignificantlyaccelerateAIadoption,even

inorganizationslackingAIexpertise.

FollowingarethekeycategoriesofcapabilitiesofGenAI:

CreatingcontentIdeasImproving

efficiency

Personalizing

experiences[10],[12].

InAI,anditssub-domains,amongthevariousAImodelslikewiseSupervised,

Unsupervised,ReinforcementorDeeplearning,ComputervisionorGenerativemodels,

theabilityoflanguagemodelstoanalyzeandcomprehendenormousvolumesoftextual

datahasattractedmuchattention.

Forexample,GenerativePre-trainedTransformer(GPT)andChatGPTweredeveloped

by“OpenAI”whichisanAmericanorganizationfocusedonadvancingArtificialGeneral

Intelligence(AGI)safelyandbeneficiallyforhumans.

AIandotherkindsofAItechnologiesinvolvelearning,reasoning,perception,and

decision-making;therefore,suchAItoolsandtechnologieshavethepotentialtoimpact

thedigitaleconomyinnumerousaspects,likeprovisionofimprovedcustomerservice,

increasingefficiency,makingtrend-baseddecisions,enhancinguserexperience,etc.we

alsoexplaintheapplicationsofGenAI,andsuchtechnology-basedtoolinthepublic,and

privatesectorsintheforthcomingsectionofthepaper.

9GenAIReshapingtheDigitalEconomy

1.2GenerativePre-Trained

Transformer(GPT)

TheGenerativePre-TrainedTransformer

(GPT)isalanguagemodeldeveloped

byOpenAI.Itisanadvancedartificial

intelligencesystemtrainedonlarge

amountsoftextdatatoproducehuman-

liketextbasedonaprovidedpromptor

context.Themodelis“pre-trained”inthat

itisinitiallytrainedonalargecorpusof

textdataandcanthenbefine-tunedfor

certainjobs,likecontextualunderstanding

intermsoftextcompletion,question

answering,andmachinetranslation.

GPTusesadeeplearningtechniquecalled

‘transformerarchitecture’,thatallowsitto

processandunderstanddatasequences

suchastext[13].

AI’sLargeLanguageModel(LLM)utilizes

deeplearning,amodelofmachinelearning,

toprocessandgeneratenaturallanguage

text.Suchmodelsaretrainedonmassive

amountsoftextdata,allowingthemto

learnthenuancesandcomplexitiesof

humanlanguage[13].

GPT-3wasintroducedwiththeabilityto

generatehigh-qualitytextandperforma

widerangeoflanguagetasks.OnMarch

14,2023,OpenAIreleasedGPT-4,alarge

multimodalmodel(acceptingimageand

textinputsandemittingtextoutputs)[14].

Subsequently,GPT5,onceagainlargerthan

GPT4,isscheduledtocomeoutoftraining

in2024[15].

10GenAIReshapingtheDigitalEconomy

1.3GenerativeAITools

GenAI-basedtoolscancreatenewcontent,suchas:

TextAudioCodeImagesVideosSimulations

VarioustoolsincludeOpenAIChatGPT,

GoogleAIbard,MicrosoftBing,Salesforce

EinsteinGPT,MicrosoftDynamics365

Copilot,LLM-Augmenter,Chatsonic,Apple

ChatGPT-styleproduct,andYouChat.

However,thisstudymainlyfocuseson

ChatGPTasanexample.Wealsoinclude

abriefdescriptionofotherGenAI-based

toolsinthissegmentofthestudy.

ChatGPT:

TheChatGPTisaGenerativeAItoolanda

cutting-edgeOpenAIchatbottechnology

releasedonNovember30,2022.ChatGPT

isoneofthemostpopularapplicationsof

NLP.Itisageneral-purposeconversational

chatbotbuiltontopofOpenAI’sGPT-3family

oflargelanguagemodels(LLM)thatuses

NaturalLanguageProcessing(NLP)and

machinelearningtoenableuserstohave

conversationalinteractionswithavirtual

assistant[14].Itistrainedondiversetext

data,includingbooks,articles,andonline

conversations,toenableittoengagein

non-trivialdialogueandprovideaccurate

informationonvarioustopics[16].TheGenAI

systemChatGPTisdesignedtobehighly

intelligentandintuitive,withtheability

tounderstandandrespondtocomplex

requestsinanaturalandhuman-likeway[17].

11GenAIReshapingtheDigitalEconomy

Introduction

ThedevelopmentofChatGPTrepresentsa

significantadvancementinnaturallanguage

processing,GenAI,andAIingeneral,

buildingupontheinitialGPT(Generative

Pre-trainedTransformer)model[18].Itis

aGenerativeArtificialIntelligenceagent

toperformhigh-levelcognitivetasksand

producesindistinguishabletextfrom

human-generatedtext[16][19].Itisexpected

toimpacteveryaspectofsociety,i.e.,

governments,businesses,andcivilsociety.

WhileGenAI-basedChatGPT,avariantof

theGPTmodeltailoredforconversational

answers,hasdemonstratedpromising

potential,thereareafewlimitationsto

beawareoflikewise;lackofconsistency,

sensitivity,incorrectorredundant

information,vulnerabilitytobiases,inability

toaskexplanationonambiguousinput,

increasingethicalconcerns,etc.However,

OpenAIacknowledgestheselimitations

andisactivelyworkingtoimproveits

capabilitiesandaddressthementionedand

otherrelevantdrawbacks.Itispertinent

toenhancetheabilityoftheGenAImodel

likeChatGPT;userfeedbackandactive

progressiveresearchplayavitalrolein

refiningthemodel'sperformanceand

ensuringtheresponsibleandbeneficial

useofGenerativeAIlanguagemodels.

Theshortbriefsonafewother

GenAI-basedtoolsareasfollows:

GoogleAIBard:

Itisanartificialintelligencechatbot

developedbyGoogle.BardusesLaMDA,a

LanguageModelforDialogueApplications.

Itusesinformationfromthewebtoprovide

high-qualityresponsesthatareup-to-

dateandeasyfortheusertounderstand.

GoogleBardusesacombinationof

machinelearningandNaturalLanguage

Processing(NLP)toprovidethesehigh-

qualityyetrealisticresponsestotheuser

[20].Intherecent-past,Googleintroduceda

newversionofGoogleAIbardthatcanalso

speakitsanswerbacktotheusersand

respondtopromptsthatincludeimages.

UserscaninteractwithBardinover40

languages,includingArabic,Chinese,

German,Hindi,andSpanish[2].

MicrosoftDynamics365Copilot:

ItisthelatestversionofMicrosoft’stool

thatincludesseveralapplicationsforsales,

customerservice,andmarketingthat

integratesAItoautomatespecifictaskslike

datagatheringandanalysisorcreatingan

emailcampaign,amongothercapabilities.

WithDynamics365Copilot,organizations

canempowertheirworkerswithAI

toolsbuiltforsales,service,marketing,

operations,andsupplychainroles.These

AIcapabilitiesalloweveryonetospend

moretimeonthebestpartsoftheirjobs

andlessonmundanetasks[21].

Microsoft’snewBing:

Microsoft(MS)releaseditsnewBing,

poweredbyanupgradedviralAIchatbot

ChatGPTmodel.MSclaimsthenewmodel

isfasterandmoreaccuratethanever

before.ThenewBingalsohasaChatmode

thatpullsinwebqueriesandallowsusers

toaskcontextualinformationbasedon

them.Bingenablesuserstoplantrips,get

recipes,seekadvice,andmuchmore,like

ChatGPT[22].

12GenAIReshapingtheDigitalEconomy

GenAIReshapingtheDigitalEconomy

UnderstandingGenerativeAIandunlockingitspowerforasafeandsustainable

DigitalEconomy.

TABLEOF

CONTENTS

ExecutiveSummary

04

Introduction

07

1.1ArtificialIntelligence(AI)&GenerativeAI

07

1.2GenerativePre-TrainedTransformer(GPT)

10

1.3GenerativeAITools

11

1.4GenAI&DigitalEconomy

14

BackgroundandHistoryofGenerativeAI&anditstools

17

2.1History

17

2.2CharacteristicsofGenAITools

20

2.3GenAI-BasedSystemsBack-EndOperations

21

2.4ResearchGaps,andOurContribution

22

ApplicationsofGenerativeAIanditsTools

23

3.1PublicSector

24

3.2PrivateSector

25

GenerativeAIModelsandDigitalEconomy

27

4.1FinancialSector,IncludingCustomerOperations.

30

4.2HealthSector

31

4.3EducationSector

33

4.4MarketingandSales

34

4.5ClimateChange

35

4.6AgricultureSector

36

4.7ProductAndServicesR&D

4.8MiscellaneousSpectrumofGenerativeAIanditsTools

37

38

2

ChallengesofGenerativeAI&itsTools

39

5.1EthicalChallenges

40

5.2GenericChallenge

45

RecommendationsonGenAItoRevolutionizeTheDigitalEconomy

47

6.1FormulationofHolisticEthicalGuidelinesandFrameworksFor

GenAI-BasedTools

47

6.2EarlyGenAIAdoptionByTheBusinessCommunity

49

6.3DevelopmentofNationalGenerativeAIStrategy

52

6.4IncentivesforGenAI

53

6.5DisclosureofGenAI,anditsTools,LikeChatGPT,StatusasanAI

LanguageModel

54

6.6GenAIStandardsandPrinciples

55

6.7SignificantDigitalLiteracyGenAI

56

6.8ResearchonGenAI,IncludingLlms

57

6.9UseOpen-SourceGenAIModels

58

6.10EstablishmentofCooperativeInfrastructureForGenAIModels

59

6.11GlobalCooperationforGenAIForGood

60

6.12GenAITechFirms’CommitmentWithTheOtherStakeholders,

IncludingGovernments.

61

6.13ConstitutionofAnIndependentAuthoritytoMonitorandAnalyze

GenAIToolsPerformance.

61

GenerativeAITools,LikeChatGPT,Limitations

62

Conclusion

63

Contributors

65

Bibliography

66

Disclaimer

Thiswhitepaperisaworkingpaper,andhenceitrepresentsresearchinprogress.ItdoesnotnecessarilyreflecttheofficialviewsoftheDCOMember

States,northeofficialpositionofanystaffmembers.Alleffortsweremadetocompiledatathatisasaccurateandasrecentaspossiblebasedon

availableinternationalsources.TheDCOdoesnottakeanyresponsibilityfordatathatmaybeinaccurate.Thenamesofcompanies,entities,products,

services,etc.mentionedinthisdocumentarenotintendedasanendorsementorreferraltobytheDCO,itsMemberStatesorstaffmembers.Theyare

sortedalphabeticallyandnotinorderofpreference.

Allimagesinthiswhitepaperaregeneratedbyartificialintelligencetoolsthroughspecificprompts,withmanualeditsappliedafterwards.

?2024,theDigitalCooperationOrganization,allrightsreserved

3

EXECUTIVE

SUMMARY

GenerativeArtificialIntelligence(GenAI)isanemergingandgroundbreakingareaof

ArtificialIntelligence(AI)thatcreatesandunderstandsqualitytext,images,audio,videos,

3Dmodels,andothercontentfromtrainingdatasets.

Generally,AIisaparadigm-shiftingideathatentailsthecreationofintelligentcomputers

capableofcarryingouttasksthatordinarilydemandhumanintelligence.AIincludesa

varietyoftechnologiesandmethodologies,likecomputervision,deeplearning,natural

languageprocessing,andmachinelearning.AIsystemsusedatatoidentifypatterns,

makechoices,andtakeactiontoreachpredeterminedobjectives.AI,includingtheGenAI,

canincreaseproductivity,accuracy,andefficiency,loweringcostsandimprovingcustomer

satisfaction.Virtualassistants,chatbots,recommendationsystems,andautonomous

vehiclesarejustafewexamplesofAI-poweredapplicationsthatarealreadyimpacting

thedigitaleconomy.

GenAIcangeneratesubstantiallyrationalandcomplexcontentthatmimicshuman

creativity,makingitavaluabletoolfornumerouseconomicareas,likeentertainment

includinggamedesign,moviemaking,andproductdesign,etc.GenAIisbasedonGPT

(GenerativePre-trainedTransformer),atypeofLargeLanguageModel(LLM),andit

utilizesdeeplearningtogeneratehuman-like,conversationaltext.TheLLMsaregeneral-

purposetechnologies,andtheirversatilityallowsthemtobeappliedindiversescenarios.

TherearevariousGenerativeAItoolsapartfromOpenAIChatGPT.Thefollowingarethe

examplesofGenAItools:Chatsonic,GoogleAIbard,LLM-Augmenter,MicrosoftDynamics

365Copilot,MicrosoftnewBing,SalesforceEinsteinGPT,andYouChat.However,this

papermainlyconcentratesontheGenAItoolChatGPT.ChatGPTisoneofthemostpopular

applicationsofGenerativeAIthatprocessesnaturallanguageprompts,offersdetailed

responses,andassiststheusersincompletingthetaskslikecomposingemails,essays,

andevenprogrammingcodes.

ThemechanismthatpowerstheGenAItool‘ChatGPT’includestraining,inputprocessing,

inference,andresponsecreation,amongothersteps.Itisaconversationalagent

drivenbyGenAIthatsignificantlyimpactsthedigitaleconomybyrevolutionizingclient

relationships,enhancingoperationaleffectiveness,andspurringbusinessexpansions.

4

SuchGenAItoolsimprovethecustomerexperiencebyofferingindividualizedand

interactivesupporttwenty-fourhoursadaywithitscapacitytocomprehendandprovide

human-likeresponses.

TheGenAItools,likeChatGPT,forexample,serveasvirtualassistants