1 / 3

generative ai models

Generative AI is a rapidly growing field of artificial intelligence that can create new content, such as images, text, and music. It is being used in a variety of industries to improve products and services, create new experiences, and solve problems.

Pratik34
Télécharger la présentation

generative ai models

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. GENERATIVEAIMODELS: • In recent years,generative AI modelshave becomeincrediblypopular and powerful.Systems that • demonstrate the immense potential of this technology are DALL-E, which generates images, and GPT-3, which generatestext.However,theyhavealsosparkedworriesaboutabuse andtheeffects onsociety. • DOWNLOADPDF:https://www.marketsandmarkets.com/industry- practice/RequestForm.asp?page=Generative%20AI • WhataregenerativeAI modelsspecifically?Theyare essentiallyAI systemsthathave beentrained on enormousdatasets to produceoriginal,lifeliketext, audio,video,and image outputs.Today'smost sophisticatedmodelsemploya techniqueknownastransformerneuralnetworks.Ratherthanbeing manuallyprogrammedwith rules,they"learn"patternsfromthe data. • Theoutcomesaresometimesastounding. Ifyou giveDALL-Eatextprompt,itcancreate previously • unimaginablephotorealisticimages. When youconversewithGPT-3,it useslanguagethatis remarkably similartohumanspeech.Automatingcreative tasks,obtainingfreshinsights from data,and lowering obstaclesto contentcreation areall possiblewith generativeAI. • Butifusedmaliciously orcarelessly,thesepotentabilitiesalsocarryrisks.Throughincrediblyrealistic fakephotos, videos,or articles,generativemodelshavethepotentialtodisseminatefalse information. • Theycouldmass-automate scams,abuse, andharassmenton theinternet. They alsobringup challenging artistic and copyrightconcernswithregardto creative works. • Althoughtechnologyis stilldevelopingquickly,thisis therightmomenttothinkaboutrulesandsafety measures.Inorder to preventabuse, techcompanies muststrengthensafeguardswhenreleasing • generativeAIservices.Inaddition,decision-makersmustdeterminewhetherandhowtokeep aneyeon andregulatethesemodelsforpublicsafety. • Requiringtransparencyaboutsyntheticcontent—namely,identifyingwhenmediaisartificial intelligence (AI)-generated versusreal—isonestrategy.Developingstrong detectionsystemstoidentify possibly • neuralphonytext, video, orimagecontent isanother.Incommercial settings,strictproduction guidelinescan reducethenumber of harmfulcases. • However,strikingthe correctbalancewon't besimple. Restricting generativeAItoomuchcouldbe detrimentalto society.Itis obviouslydangeroustohavenolimitsatall.Itwilltakeconsideration, delicacy, and insightfor allpartiesinvolvedtonavigate this terrain. • In terms ofgenerativeAI, thegenieisonly nowcoming outofthebottle.Hopefully,withcareful consideration, wecanuse thistechnologytobenefitsocietywithout goingtoofarinthedirectionof dystopia.However, wearerunning outoftimetoaddressthedifficultissuesraisedbythesequickly developingcapabilities. • Here are some prominenttypesofgenerativeAI models: • Generative adversarialnetworks(GANs):Inagameframework,two neuralnetworks competewithoneanother, oneproducing candidateand theotherassessingthem, inan effort toincrease thecaliberofcontentthatisgenerated. able tobe used togenerate text andimages.

  2. Variationalautoencoders(VAEs):Convertdataintoalatentspace, thenextract • representations fromit tocreatenewdatathat is akintothe training set.helpfulin producing images. • Diffusionmodels: Togeneratehigh-qualityimages,iterativelyaddnoiseto thedataand traina model to reverse thatprocess.DALL-EandStable Diffusionaretwoexamples. • Transformers:modelsthatcanproducecoherent textthatarebasedonthetransformer architecture,such as GPT-3.Massivevolumesoftextualdataare usedtotrainthem. • Autoregressivemodels:Createcontentonetokenat a time,conditional onprevious tokengenerationforeachnew tokencreated. enablesversatile textcreation. • Generative AImodelscanleveragedifferentlearningapproaches,includingunsupervisedor semi- • supervisedlearning for training.In theearly 2020s,advancesintransformer-baseddeepneuralnetworks enabled anumber ofgenerativeAI systemsnotableforacceptingnatural languagepromptsasinput. • GENERATIVEAITECHNOLOGY: • Thelast yearhasseenan explosivegrowthinthecapabilitiesandpopularity of generativeAI technology. Afterbeingtrained on enormousdatasetsthatarescrapedfrom theinternet,powerfulnewmodelslike DALL-E 2,GPT-3,and ChatGPTare abletoproducetext,images,and speechthat arestrikinglysimilarto humanspeech. • Although generativeAItechnology has alot ofcreativepotential,thereare worriesthatitcouldbe abusedtodistributefalseinformation,copycontent,ortake theplace ofhuman creatives.Researchers, policymakers, and techcompaniesare working feverishlytofigureouthowto minimizethe risks • associatedwithgenerativeAI while optimizing itsbenefits. • Therapidadvancement ofgenerativeAIwasbestillustratedin Apriloflastyear withthe release ofDALL- • E 2,aresearchprojectbyOpenAI. Basedon textdescriptions,thisAIsystemcanproduce digitalimages • thatare realisticand incrediblydetailed.DALL-E2willproduce photorealisticrenderingswhenyougiveit an instruction suchas "anarmchair intheshapeofanavocado". • Simultaneously,OpenAIunveiled thelatestversionofitsGPT-3naturallanguage model.Theso-called GPT-3.5canproduce textthatresemblesthat ofa human,respondtoqueries, andevencompose • narratives,poems,andnewspieceswithlittleassistance.Itsabilitiessurpassearlierbenchmarksforthe caliber of AIwriting. • TheAIstartupAnthropicmost recentlyunveiledClaude,anAIassistantmeanttobetrustworthy,helpful, and innocent.Claude can holdnaturalconversations, turn downimproper requests,and provide • referencesfor hisassertions.Withits release, anewgeneration oftrustworthyandconscientious generative AI applicationsbegins. • Largedatasets,more processingpower,and developmentsin deeplearning areresponsibleforthe abruptincreasein generativeAI proficiency.However, someexpertsareconcerned abouthow falsified voices,faces,and contentcouldencourage thespread offalse informationinnew ways.Additionally, artistsworrythat AIcreativity will replacehuman creativity.

  3. Butwithcarefulapplication,generative AImightbeabletoimprovehumancapabilities.Thesemodels could aidinthe skillexpansionofcreatives,supportresearchand reporting,enhanceaccessibility • features,andautomaterepetitivetasks. • In order to shapenormsand policies around generativeAI,governments,civil society,and AIdevelopers mustworktogether.Thistechnologyhasthepotential tosignificantlyimprovehumanexperience, science,medicine,andthearts withcarefulgovernance. • generativeAItechnology canbeused foravariety of projects, including: • Journalism:Createfirstdraftsofarticlesbasedon briefnotestoimproveworkflowsfor reporting.Checkfactsandvalidatesources. Combinestudiesfromnumerousdatasets. • Marketing:Makelandingpages, adcopy,productdescriptions,andotherassets.Createdynamic digital ads thatareconversionoptimized.Automatecontent A/Btesting. • Healthcare:Providediagramsandpictureswithscientificcontentforpublicationsandteaching materials.Condenselongresearchpapersinto briefsummaries.Diagnosepatientsbasedon • theirsymptomsand medical history. • Education:Createpracticetests andinteractivestudy guidesbasedon the knowledgegapsof your students. Modify curriculaand teachingstrategiesto best accommodatevariouslearning preferences.automatetheevaluation of someassignments. • Photography:Improveandalterphotosinresponsetonaturallanguage cues.Makeunique • collagesand compositesusing thedescriptionsas aguide.Change the backgroundsand include or exclude elementsfrompictures. • Music:Createlyrics,instrumentals,and melodiesbasedonkeywords,moods,andgenresthat youspecify. Combineproducedmusic andacapellastocreate original mixes.To fitthetarget musicalstyles,modify already-writtensongs. • Fashion:Createoutfits,shoes,andaccessories by usingpre-existingimagesand spoken cues. Transform prevailingstylesintofreshcreations.Makedigitalclothing renderings andprototypes. • Architecture: Createarchitecturaland interiordesignsaccordingto therequirementsand • limitationsofthe client.Makespacevisualizationsand3Dmodels. Go throughdesignoptions morequickly. • Theapplicationsarevast,rangingfrom creativetoanalyticalusecases.But responsibleoversightis stillneeded to ensure generativeAI technology is usedethically and safely. • ReadMore:https://www.marketsandmarkets.com/industry-practice/GenerativeAI/genai- growth-applications

More Related