Capgemini-控制生成人工智能（英）-2023

TAKINGCONTROL

OFGENER

ATIVE

AIRealizing

AI’s

many

possibilitiesin

a

safe

and

secure

wayTAKING

CONTROL

OF

GENERATIVE

AIContent

sTHIS

ISTHE

IPHONEMOMENT

FOR

THE

AIINDUSTRYBUILDING

ON

AIFOUNDATIONSGETTING

CUSTOMIZEDINTELLIGENCE

FROMGENER

ATIVEAI345CRE

ATING

BUSINESSVALUE

WITHCOMPANY

DATATRUST

IS

THE

BIGGESTCHALLENGE

INGENER

ATIVEAIUSING

A

GENERATIVE

AIEXPERIENCE

L

AYER

TO

BRINGVALUE

BEYOND

CX

IMPROVEMENT678COPYRIGHT©2023CAPGEMINI.

ALL

RIGHTS

RESERVED.2TAKING

CONTROL

OF

GENERATIVE

AIThehypesurroundingthecapabilitiesofFrom

automatingprocessestoquicklycreatingmarketingmaterials,generativeAI

foundationmodelscandeliverbenefitsthatsavetimeandmoney,enhancecustomerexperience,andimproveefficiency.ThechallengeforcompaniesishowtoadoptGenerativeAI

successfullyanddelivercompetitiveadvantageswithoutexposingthemselvestosignificantrisks.

BecausegenerativeAI

canmake

criticalerrors,companiesmustensurethattheyareincontroloftheentireprocess,fromthebusinesschallengestheyaddresstothegovernancethatcontrolsthemodelonceitisdeployed.generativeAI

isimmense.WhilegenerativeAIhasbeenaroundforsometime,thelaunchoffoundationmodelslike

ChatGPThassparkedasurgeofinterestinthetechnology,leadingtoanunparalleledadoptionrate.WithinjustThis

is

the

two

monthsofits

release,ChatGPTachievedarecord-breaking100

millionmonthlyactiveusers,makingitthefastest-growingconsumerapplicationinhistory.[1]iPhoneWe

canseeatransformationhappeninginAI

thatissimilartothewaytheiPhonemoment

for

revolutionizedthesmartphonemarket.Andonethingiscertain:generativeAI

isheretostay.ThemarketforgenerativeAI

isprojectedtoreachavalueof109

billionUSDby2030.[2][1]

Reuters,

ChatGPT

sets

record

for

fastest-growing

user

base,

2February

2023the

AIindustr

y[2]

Generative

AI

Market

Size,

Share

&

Trends

Analysis

Report

ByComponent

(Software

and

Services),

By

Technology

(GenerativeAdversarial

Networks

(GANs),

Transformers),

By

End-use,

By

Region,And

Segment

Forecasts,

2023

–

2030,

Grand

View

Research,

2023TheshifttowardwidespreaduseofgenerativeAI

isalreadyprovingtobearapidoneandtechnologicaladvancesarehappeningathyper-speed.Accordingtoresearchpublishedin2022,

generativeAI

willreachfullmaturityinjusttwotofiveyears.[3][3]Gartner,

Hype

Cycle

for

Artificial

Intelligence,

2022COPYRIGHT©2023CAPGEMINI.

ALL

RIGHTS

RESERVED.3TAKING

CONTROL

OF

GENERATIVE

AIBuildingThelatestgenerativeAI

foundationmodelscanhave

10

billion,andeven100

billionparameters,whicharesignificantlymorethantheearlierversionsthatwere

firstcreatedaround2014.Asaresult,hyperscalersarecompetingto

createthebestAI

foundationsthatbusinessescanuseto

buildupon.Thisallowscompaniesto

focusmoreonvendorselectionandthentheirbusinesschallengesratherthanhavingto

buildthewholefoundationfromscratch.ThismeansAI

ismovingfromcustomdevelopmentintothepackageage.on

AIfoundationsCOPYRIGHT©2023CAPGEMINI.

ALL

RIGHTS

RESERVED.4TAKING

CONTROL

OF

GENERATIVE

AIGettingFoundationmodelsarereallygoodatcreatingtextandpictures.Intheory,theycanoutperformhumansinanumberofareasincludingtranslationandtheprocessingofhandwriting,images,andspeech.[4]

Buttheydothisinastatisticalway

andcanbeproneto

hallucinations,whichisatermforgeneratingfalseinformationfromtheunderlyingdata.Thelevel

ofconfidencewithwhichthesehallucinationsarepresentedcancreateafalsesenseofauthorityforincorrectinformation.Thesearemodelsthatdonothave

generalintelligenceorindeedany

intelligencethatyoudonotprovideto

them.intoa

modelresults

intailored

intelligencethatmeetstheindividualspecificitiesofanorganization.Thisguaranteesthatthemodelproducestherightoutcomesandworkswithinsetboundaries.customizedintelligencefrom[4]

Rethinking

Benchmarking

in

NLP,

Kiela

et

al,

2021generativeAIHowever,

foundationmodelscanbetuned.IntegratingcompanyknowledgeCOPYRIGHT©2023CAPGEMINI.

ALL

RIGHTS

RESERVED.5TAKING

CONTROL

OF

GENERATIVE

AICreating

businessvalue

withMinimizing

security

risks

with

synthetic

dataAI

canhelpcreatecustomerprofiles,identifytrends,remainingcompliantwithsecurityregulations.company

dataandunearthnewbusinessOnesocialinsuranceopportunitiesthroughdataanalysis.However,

developingaccurateandreliableAI

modelsrequires

a

substantial

amount

ofdata,whichpresentschallengesregardingdataqualityandquantity.Strictregulations,suchasGDPR,

also

limittheuseofsensitivecustomerdata.GenerativeAdversarialNetwork(GAN)modelscanproducesynthetic,artificiallygenerateddatabasedonrealdatasets.Thisallowsorganizationstoperformdataanalysiswhileorganizationthatprovidesfinancialsecurityrelatedtoillness,disability,andfamilieswithchildrenusedsyntheticdataforanalysisastherealdatatheyprocessishighlysensitive.Bygeneratingmedicalrecordswithsyntheticdata,theorganizationisabletoautomatetheir

process,reducethetimespentonmedicalcodeclassificationandcreatebetterconditionsfordevelopingnewservices

andbenefitsusingAImethods.Tuning

foundationmodelswithcompanydataandcreatingalayeraroundthemodelmeansyoucandeployitinatrustedenvironmentanddeliverreliableoutputsatscale.thedatascienceapproachofpreviousAI

generations.Ensuringthatyouareincontrolofthefoundationmodel,andyourdatawithinit,isthefirstchallengefororganizationslookingtoreallyleveragethepowerofgenerativeAI,by

combiningabusinessknowledgemodelwiththepre-trainedfoundationmodels.Withoutthisapproach,Organizationsmustexercisecautionandmaintaincontrolwhenimplementingthisapproach,asanymisstepsintheprocesscouldresultinsignificantconsequences.thereisasignificantriskofnegativeconsequences,eitherofdataleakageorcorruptedoutcomes.To

dothismeansyouneedto

adoptamodelscienceapproachratherthanCOPYRIGHT©2023CAPGEMINI.

ALL

RIGHTS

RESERVED.6TAKING

CONTROL

OF

GENERATIVE

AITrust

is

the

biggest

challengein

generative

AIApplying

generative

AI

tocontentgenerationData

has

value,

and

organizations

haveacompany’s

values.

With

the

implementationofguardrails,

the

system

canavoid

hallucinations

andmaintain

its

accuracy.responsibility

to

protect

their

data

and

the

dataoftheir

customers.

The

uncontrolledusage

ofgenerative

AIs

could

result

indata

suddenly

beingavailable

for

public

consumption

–

something

thathas

already

happened

to

severalfirms.

Establishinga

model

hub

that

implements

a

testing

andtrust

layer

to

monitor

any

potential

model

usageleakages

makes

sureAI

toolsare

being

used

inasecure

andprivate

way.It

also

ensures

consistencyand

accuracy.AglobalconsumergoodscompanystartedusingGPT-3

forautomatedcontentgeneration,languagetranslation,andwebmarketingkeywordoptimization.ThismeantthattheycouldreplaceasignificantnumberoftheircopywriterswitheditorstocheckandtweakthecontentAI

hadgenerated.Buildingtrust

inAI

involves

creatingAI

humility,which

means

ensuring

that

yourAI

acknowledgeswhen

it

doesn’t

have

an

answer.Some

foundationmodels

may

offer

responses,

regardless

oftheiraccuracy.

This

is

why

it

isimportant

to

establishboundaries

and

ensure

thatthe

modelsadmit

theirlack

ofknowledge

when

necessary.Usingafoundationmodeltohelpproducetheirmarketingmaterialsnotonlyreducescostsandsavestime,butitalso

generatesmoreaccurateandconsistentcontentcomparedtothecontentproducedbyhumansalone.EngagingAI-producedproductdescriptions,whichincludedtenhigh-valuekeywords,receiveda

qualityratingof100%.Incontrast,contentproducedwithouttheuseofanAItoolhada70%

qualityrating.Whendealingwith

AI,

especiallyfoundation

modelsthat

exceed

human

comprehension,

settingandcontrolling

boundaries

is

critical

to

prevent

anyunexpected

outcomes.

Without

proper

limitations,the

system

may

malfunction

orproduce

inaccurateresults.

While

you

may

not

understand

the

internalsof

the

model,

you

should

alwaysbe

able

to

explainhow

it

reacheda

specific

outcome.When

integrating

a

generative

AI

foundationmodel,

how

doyou

knowwhat

it’s

going

to

doand

control

and

boundit?In

addition

tothe

trustlayer,

it

is

essential

to

havea

guardrails

and

anorchestration

layer

in

place.

This

prevents

AImodels

from

producing

inaccurate

informationor

generating

responses

thatcontradict

yourCOPYRIGHT©2023CAPGEMINI.

ALL

RIGHTS

RESERVED.7TAKING

CONTROL

OF

GENERATIVE

AIUsing

aGenerativeAI

isanundeniablypowerfultool,especiallywhenpre-trainedWe

have

alreadyguidedsomeoftheworld’s

leadingenterprisesontheirgenerativeAI

journey,sharingourexpertisefromroadmapstodeployment.foundationmodelsarecombinedwithacompany’sknowledge.Ifacompanywantsto

usegenerativeAI

withtheirowndata,theyneedareliablepartnerwhocanhelpbuildthenecessaryinfrastructure,giveguidance,

andhelpthemscaleup.generativeAI

experiencel

ayer

toGenerativeAI

willshapeallourfutures,butwecanshapegenerativeAI

to

getthefuturewewant.Capgeminiacts

asatrustedpartnerforbusinesses,workingwiththemto

developtunedfoundationmodelsandhelpthemnavigatethecomplexitiesofgenerativeAI.We

provideguidancethroughtheentireprocess,includingassessments,frameworkimplementation,andbusinesstemplates,to

ensureasmoothandefficientexperience.ThisincludesprovidingagenerativeAI

experiencelayerto

ensurethathigh-performingAI

solutionscanbedeployedatscaleinatrustedmanner.bring

valuebeyond

CXimprovementCOPYRIGHT©2023CAPGEMINI.

ALL

RIGHTS

RESERVED.8AboutCapgeminiContactCapgemini

is

a

global

leader

in

partnering

with

companies

to

transform

and

manage

theirbusinessby

harnessingthepoweroftechnology.TheGroupis

guidedeveryday