高鵬至-小米在AI Agent上的思考和探索_第1頁
高鵬至-小米在AI Agent上的思考和探索_第2頁
高鵬至-小米在AI Agent上的思考和探索_第3頁
高鵬至-小米在AI Agent上的思考和探索_第4頁
高鵬至-小米在AI Agent上的思考和探索_第5頁
已閱讀5頁,還剩85頁未讀, 繼續免費閱讀

下載本文檔

版權說明:本文檔由用戶提供并上傳,收益歸屬內容提供方,若內容存在侵權,請進行舉報或認領

文檔簡介

全球機器學習技術大會主辦方合作伙伴異步社區wwwwnuhitwww.epuDl.Co清華大學出版社TSINGHUAUNIVERSITYPRESS清華大學出版社TSINGHUAUNIVERSITYPRESSCHINAMACHINEPRESS2025技術會議一技術人的思想盛宴2025技術會議一技術人的思想盛宴全球機器學習04月18-19日上海10月17-18日北京全球產品經理大會6月6-7日北京Summit全球軟件研發8月15-16日上海全球全球C++及系統軟件技術大會12月12-13日北京SoftwareSummitAIGC怏空2024長沙中國12024長沙中國1I111!!!2020-2024產品評測客戶案例活動整理專題權威出版大模型驅動軟件開發智能化的四大誤區《新程序員》聚集全球技術大師、行業技術先鋒,從前沿技術到《中國開發者調查報告》中國樣本豐富的開發者調查報告,目前已成為完整準確了解中國開發者市場的重要參考資料。CSDNCSDN掃碼購買最新版程序員雜志Al掃碼購買最新版程序員雜志MLML-Summit2024全球機器學習技術大會高鵬至小米大模型團隊高級算法工程師負責多語言大模型及AlAgent的研發工作。博士畢業于倫斯勒理工學院,研究方向為自然語言處理和信號處理,曾在ACL、EMNLP、NAACL、ICASSP、IEEETransactionsonSignalProcessing演講主題:小米在AIAgent上的思考和探索ML-SummitML-Summit2024全球機器學習技術大會小米在AIAgent上的思考和探索高鵬至2024年11月15日全球機器學習技術大會小米大模型團隊小米科技戰略的實踐者全球機器學習技術大會深耕底層技術,長期持續投入,軟硬深度融合,Al全面賦能全球機器學習技術大會深耕底層技術,長期持續投入12個技術領域,99個細分賽道,未來5年技術投入1000億元人民幣小米人工智能發展歷程全球機器學習技術大會MACEMACEMAGE多媒體MACEMNLP圖譜平臺多媒體搜索推薦平臺自動駕駛團隊小米機器人實驗室知識圖譜機器學習大模型大模型團隊視覺聲學語音NLP知識圖譜機器學習大模型AI視覺團隊小米Al實驗室MACEMAGE視覺聲學語音NLP視覺機器學習視覺機器學習視覺機器學習MiNLPMACE2016.7NLP視覺全球機器學習技術大會小米大模型升級第二代:云邊端結合模型矩陣賦能「人車家全生態」小米大模型團隊小米技術2024年11月12日18:11北京MiLM2-0.3BMiLM2-0.7BMiLM2-0.7Bx8MiLM2-1.3BMiLM2-2.4B云邊端結合賦能「人車家全生態」MiLM2-2B×8MiLM2-6BMiLM2-4BMiLM2-0.3BMiLM2-0.7BMiLM2-0.7Bx8MiLM2-1.3BMiLM2-2.4B云邊端結合賦能「人車家全生態」MiLM2-2B×8MiLM2-6BMiLM2-4BMiLM2-13BMiLM2-30BMiLM2-XBMiLM2-13BMiLM2-30BMiLM2-XB手機端側大模型部分場景效果媲美云端MLH-130MLH-13040.512023年8月小米首次發布小米自研大模型并跑通端側全球機器學習技術大會全球機器學習技術大會●Amazon-owned●Anthropic●Apple●ChineseGoogle●Meta/Facebook●Microsoft●OpenAI●OtherPLATO-XLChatCBard*BingChat*PLATO-XLGPT-5*BlenderBot3EmieBotGPT-5*GPT-4*WuDao2.0Infection-2.5Llama3*GLaMEGemipro15Olympus*MinervaExaoneGopherExaonetFalcontPanGu-Alpha-175BillionBLOOMEmieBotWebGPTJurassic-1(WebGPTGPT-3GPT-3Claude2.1LaMDALaMDAFLANGalacticaIDEFICSG3POGPT-NeoXAlexaTMMM1MM1●GPT-2●MGIEGPT-J●●MGIEWeLMBERTT5Megatron-11BWeLMBERTTBCpre-2020202021TBCDavidMcCandless,TomEvans,PaulDavidMcCandless,TomEvans,PaulBartonsource:newsreports,LifeArchitect.ai*=parametersundisclosed//seethedata全球機器學習技術大會智能體(Agent全球機器學習技術大會父父Agent全球機器學習技術大會解決真實世界的問題通常是個試錯的過程利用外部工具和知識可以擴展大語言模型的能力Agent工作流更適合解決復雜問題·任務拆解 小小Agent的廣泛應用全球機器學習技術大會工作流自動化機器人全球機器學習技術大會全球機器學習技術大會手機依然是未來十年的個人計算中心智能家居場景擁有豐富的感知設備和復雜的場景 ·AgentAgentAgent能夠理解用戶需求能夠處理復雜的任務能夠處理復雜的任務能夠提供個性化服務NNAgent在手機上的三種未來形態操作系統→OSAgent接口服務和內容APPAPPxiaomixiaomi全球機器學習技術大會工具學習全球機器學習技術大會全球機器學習技術大會QinzhuoWu,WeiLiu*,JianLuan,BinWang{wuqinzhuo,liuwei40,luanjian,wangbin11}@全球機器學習技術大會(HereAct2)theagentgotocabinet1,thencabinet2,3,(HereAct2)6:Gotocountertop3vase6:OnthevaseAct7:Takepeppershaker1fromcounObs7:Youpickupthepeppershaker1fromthecountertop3.Act9:Gotodrawer1Obs9:Drawer1isAct10:Opendrawer1方案可以簡單的總結為Thought-Action-2.Action2.Action3.3.Observation若模型認為任務已經完成,模型可以跳出循環全球機器學習技術大會-search[query]:Googlesearchthequ-finish[answer]:returntheanswerThought:Thought:IneedtofindthecurrentmarketcapitalizationofApple,Nvidia,andMicrosofttounderstandhowmuchitAction:search["currentmarketcapitalizationofApple,Nvidia,andMicrosoft"]ObservationObservation:"Nvidia'smarketcapstoodat$1.832trillionasofabout10a.m.ETWednesday,whileAlphabet'swasat$1.814trillion,bringingNvidiabehindjustMicrosoft(MSFT)at$3.015trillionandApple(AAPL)at$2.836trillion."ThoughtThought:NowthatIhavethemarketcapforallcompanies,let'saddthemtogetherAction:search["1.832trillion+3.015trillion+2.836trillion"]ObservationObservation:7683000000000Thought:TheamountofmoneyneededinThought:Theamountofmoneyneededinadditiontothe$7trillionAction:finish["Youneedanadditional$683billiontobeabletobuy全球機器學習技術大會全球機器學習技術大會ThoughtThought:IneedtofindthecurrentmarketcapitalizationofApple,Nvidia,andMicrosofttounderstandhowmuchitwoAction:search["currentmarketcapitalizationofApple,Nvidia,andMicrosoft"]Observation:nothingfound!Thought:Thesearchdidnotgiveanyresults.Iwillneedtosearchforeachcompany'smarketcapitalizationindividually.Action:search["currentmarketcapitalizationofApple"]Observation:'price':1capiscalculatedbymultiplyingthesharepricebythenumberofoutstandingshares.Thus,IneedtofindthetotalnAction:search["totalnumberofApple'soutstandingshares"]observation)observation)全球機器學習技術大會全球機器學習技術大會Category→Tool→APICategory/Collection→SampledAPl1SampledAPI2yousuggest...RelevantAPIsAPI1,API2,API5..APIDescription:xxxToolAPITopQRCodeAPlsMGETServicesGETSearchByTitleGETGenresAPIName:SearchByTitleAPIDescription:Searchmoviesandseriesbytitle,…RequiredParameters:(1)title(string,titletosearchfor),(2)country(string,….)OptionalParameters:(1)show_type(string,Typeofshowstoincludeintheresults,either"movie","series",or"all".Defaultis"all"),(2)output_language(string,….)CodeSnippets:GET/v2/search/title?title=batman&country=us&show….ExampleResponse:type:"movie",title:"Batman",overview:"Japanese…Jobs16K+16K+個API和12K+個用ChatGPT生成的數據示例"query":"I'"query":"I'mplanningatrivianightandIneedavarietyofquestions.CanyouprovidemewithamusictriviaquestionfromtheMusicTriviaAPI?Also,fetchmearandomtriviaquestionfromtheTriviabyAPI-NinjasAPI.Thanks!","queryid":101,"relevantAPIs":[["MusicTrivia","/getgamelevel"],["TriviabyAPI-Ninjas","/v1/trivia"]],{"categoryname":"Media","toolname":"Music{"categoryname":"Gaming","toolname":"Trivia{"categoryname":"Social","toolname":"Chuck{"categoryname":"Social","toolname":"Chuck{"categoryname":"Social","toolname":"ChuckTrivia","apiname":"/Trivia","apiname":"/getgamelevel"},byAPI-Ninjas","apiname":"/v1/trivia"},Norris","apiname":"/jokes/categories"},Norris","apiname":"/jokes/random"},Norris","api_name":"/jokes/search"}]Table10:AninstructionexamplefromToolBenchdataset.全球機器學習技術大會rolecontentsystemSystemPrompt……userTriviabyAPI-NinjasAPI.Begin!assistant{"name":"getmathfactfornumbers","arguments":"{"number":"1729"}"}functionwaysasasumoftwopositivecubes,asRamanujanstatedonthespot','number':1729,'found':True,'type':'math'}"}assistant{"name":"getmathfactfornumbers","arguments":"{"number":"42"}"}functionapairofstandardsix-sideddice','number':42,'found':True,'type':'trivia'}"}assistant{"name":"getmathfactfornumbers","arguments":"{"number":"1492"}"}function{"error":"","response":"{'date':'October12','text':"ChristopherColumbus'expeditionmakeslandfallintheCaribbeanandlandsonGuanahani,buthebelieveshehasreachedtheEastIndies",'number':1492,'found':True,'type':'year'}"}assistant{"name":"v1triviafortriviabyapininjas","arguments":"{}"}functionOver90%OfOneOfTheEarth'sSemiPreciousStonesWhichOne",'answer':'Opal'}]"}assistant{"name":"Finish","arguments":"{"returntype":"giveanswer","finalanswer":"Herearesomeinterestingfacts:sumoftwopositivecubes,asRamanujanstatedonthespot.2.Thenumber42isthenumberofspotsonapairofstandardsix-sideddice.3.Intheyear1492,ChristopherColumbus'expeditionmadelandfallintheCaribbeanandlandedonGuanahani,buthebelievedhehadreachedtheEastIndies.Andhere'satriviaquestion:Category:GeographyQuestion:Australiaproducesover90%ofoneoftheEarth'ssemi-preciousstones.Whichone?Answer:Opal."}Table11:AsolutionexamplefromToolBenchdataset.ToolLLM:FacilitatingLargeLanguageModelstoMaster16000+Real-worldAPIs,ICLR2024.全球機器學習技術大會全球機器學習技術大會rrToolLLM:FacilitatingLargeLanguageModelstoMaster16000+Real-worldAPIs,ICLR2024.全球全球機器學習技術大會toolpoolRetrieverInstructionCandidateActionProvideRestartanswer(a)Tool-AugmentedLLMsFramework工具增強大模型通常由外部工具池、檢索器和主模型組成。在每一輪中,大模型可以進行以下幾項操作:思考與外部工具交互提出解決方案重新開始(可選)previousnodeFinish:RestartFinish:ProvideAnswer(b)Chain-basedandTree-base在真實場景中,用戶通常不會使用帶有API在真實場景中,用戶通常不會使用帶有API名稱的指令,而是用更自然的語言來描述他們的意圖。之前的工作關注大模型能否最終生成一個合理的答案,而忽略了它們的指令遵循能力。小工作動機全球機器學習技術大會1.I'mgoingtoDisneyhotel,anysuggestions?Monday,showmetheflightoptions.StatementCategory987OakStreet,Denver'usingtheGeocoder-UnitedStatesCensusBureauAPI.APIAPICategoryRound2:API:geocodingandgeolookupforanaddressETool:Geocoder-UnitedStatesCensusBureau00全球全球機器學習技術大會LevelDescriptionInstructionExampleStatementexternaltoolorinformationrequired.citycenter.PleaseassistmewithtoolsfromTravelandTransportationcategories.Theinstructionexplicitlyspecifiestherequiredtool.citycenter.UsingPricelinecomProviderandADSBxFlightSimTraffictohelpmewithhoteloptionsandtrafficdetails.APITheinstructioncontainsspecificAPInamesorparameters.citycenter.UsingSearchhotellocationsbygleolocation,Hoteldetails,andLiveTraffic,helpmefindasuitablehotelandtrafficinformation.Theinstructioncontainsacombinationofdifferentgranularitylevels,suchasspecifyingtoolnames,APInames,andparameters.thecitycenter.Canyousearchforhotellocationsbasedonthecoordinates41.3851°Nlatitudeand2.1734°Elongitude?Additionally,全球機器學習技術大會SolutionPath&TagListAction:search_hotels_locations_by_geolocation_for_priceline_comproviderActionInput:{"latitude":41.3851,"longitude":2.1734}Observation:...Round2:Action:hotel_details_forpriceline_com_providerActionInput:{"hotel_id":1105156}Actionlivetraffic_for_adsbx_flight_sim_trafficActionInput:{"lat":41.3851,"lon":2.1734}Answer:..MGToolBenchMGToolBenchmulti-leveltasks75,8881.search_hotels_locations_by_geolocation_forpriceline_com_provider2.hotel_details_forpriceline_com_provider3.livetraffic_for_adsbx_flight_sim_trafficCategory:Travel,Transportation.Tool:PricelinecomProvider,ADSBxFlightAPI:Searchhotellocationsbygeolocation,Hoteldetails,LiveTraffic全球機器學習技術大會Youarearesearchassistant.Pleasegenerateacoarse-grainedtoolusageinstructionbasedondetaileduserinstructionsforatoolusagetask.Youshouldnotprovideadetailedtaskdescriptionandneedtoincludetheapinameinthesimplifiedinstruction.Examplel:System:I'mplanningasurprisepartyformybestfriend'sbirthday.Tool:TheCocktailDB,Weather,FreeNBA.Answer:I'mplanningasurprisepartyformybestfriend'sbirthday.UsingTheCocktailDB,WeatherandFreeNBAtofindmesomecocktialrecipe,weatherforecastandbasketballinformation.Example2:System:I'morganizingacharityeventformycompanyandweneedsomeassistance.Tool:MicrosoftTranslatorText,MyMemory-TranslationMemory.Answer:I'morganizingacharityeventformycompanyandweneedsomeassistance.Usingthesetwotools,MicrosoftTranslatorText,MyMemory-TranslationMemory,andgivemesomeideas.Now,Pleasemakethesimplifiedanswerofbelowrequests.System:{request}Answer:Table16:Thepromptfortool-levelinstructiongeneration.小小rMulti-GranularityUserInstructionI'morganizingaschooltriptoBarcelonaandneedtofindahotelnearthecitycenter.UsingPricelinecomwithhoteloptionsandtrafficdetails.Category:Travel,Transportation.Tool:PricelinecomProvider,ADSBxFlightAPI:Al,A2,A3,B1,B2,B3A1B1B2Answer全球機器學習技術大會Multi-GranularityUserInstructionStage1:SupervisedFinetunMultipleRoundsofRFeedbackFunctionFunctionAlA3(R(S4)>R(S3)R(S4)>R(S2)R(S4)>R(S1)R(S3)>R(S2)R(S3)>R(S1)NotPassNotPassPassNotMatchMatchMatchPairwiseResponsesMultipleRoundsofReasoningStage2:ReinforcementLearningModelwithTask小小rrYouareYouareahelpfulassistantandgoodplanner.YourjobistofindwhichAPIsassistantcanusebygiventheseedtaskandtools.FirstIwillgiveyoutheauserrequestanditscorrespondingtoolsastheseedtask,andyourjobstart.Herearesomeexamplesofhumanrequestandcorrespondingtools:System:I'mplanningasurprisebirthdaypartyformybestfriendandIwanttocreateaspecialcocktailmenu.Canyouprovidemewithalistofcocktailrecipes,includingtheirnames,images,anddetailedrecipes?Additionally,fetchsomerelevantimagesofcocktailstodesignpersonalizedpartyinvitations.Tag:Thought:Cate_Tag:Food,Food,Data.Tool_Tag:the_cocktail_db,the_cocktail_db,web_search.API_Tag:list_of_cocktails,detailed_cocktail_recipe_by_id,imagesearch.System:IamplanningafamilyvacationtoNewYorkandneedtobookround-tripfightsandarentalcar.Usingsearch_round_trip,search_results_request,andlivetrafficAPIs,helpmefindsuitableflightsandarentalcar.Tag:Thought:Cate_Tag:Travel,Travel,Transportation.Tool_Tag:priceline_com_provider,priceline_com_provider,adsbx_flight_sim_traffic.API_Tag:search_round_trip,search_results_request,livetraffic.Now,PleasemaketheAPIusingplanofbelowrequestsandtools.System:{request}Multi-GranularityUserInstructionI'morganizingaschooltriptoBarcelonaandneedtofindahotelnearthecitycenter.UsingPricelinecomProviderandADSBxFlightSimTraffictohelpmewithhoteloptionsandtrafficdetails.Category:Travel,Transportation.Tool:PricelinecomProvider,ADSBxFlightSimTrafficAPI:Al,A2,A3,B1,B2,B3A1B1B2Answer小小rrAssumethatyouplayaroleAssumethatyouplayaroleoftoolusingplanner,Iwouldgiveyouauserrequestanditscorrespondingtaglist,andyoushouldhelpmetoplanthetoolusingsolutionpath.Herearesomeexamplesofhumanrequestandcorrespondingtoolusingsolutionpath:System:I'mplanningafun-filledweekendwithmyfamilyandIwanttostartitoffwithagoodlaugh.Usingsocialgrep,programming_memes_reddit,findmesomeentertainingcontent.Cate_Tag:Data,Data,Entertainment.Tool_Tag:socialgrep,socialgrep,programming_memes_reddit.API_Tag:post_search,comment_search,get_all_memes.Solution_Path:Thought:get_all_memes_for_programming_memes_reddit,post_search_for_socialgrep,comment_search_for_socialgrep,comment_search_for_socialgrep,Finish.Cate_Tag:Education,Sports,Social.Tool_Tag:numbers,free_nba,chuck_norris.API_Tag:get_random_fact,get_all_stats,jokes_search.Solution_Path:Thought:get_random_fact_for_numbers,get_all_stats_for_free_nba,get_random_fact_for_numbers,jokes_search_for_chuck_norris,Finish.Now,Pleasemakethetoolusingplanofbelowrequests.System:{request}Solution_Path:Table19:Thepromptforthesolutionpathplanning.Multi-GranularityUserInstructionI'morganizingaschooltriptoBarcelonaandneedtofindahotelnearthecitycenter.UsingPricelinecomProviderandADSBxFlightSimTraffictohelpmewithhoteloptionsandtrafficdetails.Category:Travel,Transportation.Tool:PricelinecomProvider,ADSBxFlightSimTrafficAPI:Al,A2,A3,B1,B2,B3A1B1B2Answer小小rMulti-GranularityUMulti-GranularityUserInstructionI'morganizingaschooltriptoBarcelonaandneedtofindahotelnearthecitycenter.UsingPricelinecomProviderandADSBxFlightSimTraffictohelpmeTagExtractionCategory:Travel,Transportation.Tool:PricelinecomProvider,ADSBxFlightSimTraffic-API:A1,A2,A3,B1,B2,B3SolutionPathPlanningA1B1B2AnswerInteractwithtoolsCandidateThought,Action,ActionInputRestartProvideAnswerLLMMultipleMultipleRoundsof全球機器學習技術大會System:YouareAutoGPT,youcanusemanytools(functions)todothefollowingtask.FirstIwillgiveyouthetaskdescription,andyourtaskstart.Ateachstep,youneedtogiveyourthoughttoanalyzethestatusnowandwhattodonext,withaThought:Action:Afterthecall,youwillgetthecallresult,andyouarenowinanewstate.Thenyouwillanalyzeyourstatusnow,thendecidewhattodonext..Aftermany(Thought-call)pairs,youfinallyperformthetask,thenyoucangiveyourfinialanswer.Remember:1.thestatechangeisirreversible,youcan'tgobacktooneoftheformerstate,ifyouwanttorestartthetask,say"Igiveupandrestart".oftheconditionspertry.Let'sBegin!Taskdescription:Youshouldusefunctionstohelpinformationtoshowtotheuser,Ifyoucan'thfail(thefunctionisnotvalidnow),usefu2.DonotuseorigintoolnameYouhaveaccessofthefollowingtools:{toollist}User:{Input}Assistant:巾巾Tool-levelinstruction:I'morganizingafamilyreunioninOrlando.UsingA1,B2,B3-A1A2A3ADSBxFlightSimTrafficAnotherB1B2B3HotelsC1C2C3ToolFinishA1A1,B2全球機器學習技術大會 任務完成指令遵循解決方案是否遵循用戶指令訓練策略全球機器學習技術大會訓練策略 days.Canyouprovidemewithadetailed5-dayCategoryTags:Data,Weather.ToolTags:Weather,AirQuality.APITags:5dayforecast,AirQualityForecast.5dayforecast→AirQualityForecast→FinishFinishqualityforecastforthehikinglocation:…5dayforecast→Weather→AirQualityForecast→FinishFranciscoisasfollows:...ToolPlanner5dayforecast→AirQualityForecast→AirQualityForecast→FinishlocationinSanFranciscoisasfollows:..follows:…Figure6:AcaseofgeneratedsolutionsbyGPT-4-Tree,ToolLlama-TreeandToolPlanner.全球機器學習技術大會 量"工具中的“天氣"API 巾巾全球機器學習技術大會C478384GPT4-Chain8GPT4-Tree5945.689巾巾全球機器學習技術大會StateCateTagAPIHybridAvg.CCTAA89877ToolPlannerw/oTag&Path5全球機器學習技術大會全球機器學習技術大會●更強的推理和規劃能力●從環境中學習的能力 全球機器學習技術大會全球機器學習技術大會全球機器學習技術大會全球機器學習全球機器學習技術大會巾巾全球機器學習技術大會0.67340.70920.69080.49490.86170.6287TagExtraction0.8486Table27:ComparetheperformanceofTagExtractionandRetrieveringeneratingcandidatelists.Weshowtheperformanceofgeneratingtagsatthecorrespondinggranularityforeachinstructionlevel.全球機器學習技術大會Youarearesearchassistant.Pleasegenerateacoarse-grainedtoolusageinstructionbasedondetaileduserinstructionsforatoolusagetask.YoushouldnotprovideadetailedtaskdescriptionandneedtoincludeExamplel:System:I'mplanningasurprisepartyformybestfriend'sbirthday.Category:Food,Weather,Sports.Answer:I'mplanningasurprisepartyformybestfriend'sbirthday.PleasehelpmefindsomeinformationwithtoolsfromFood,Weather,Sportscategories.System:I'morganizingacharityeventformycompanyandweneedsomeassistance.Category:Translation,Business.Answer:I'morganizingacharityeventformycompanyandweneedsomeassistance.UsingtoolsfromTranslationandBusinesscategory,andgivemesNow,Pleasemakethesimplifiedanswerofbelowrequests.Answer:Table15:Thepromptforcategory-levelinstructiongeneration.全球機器學習技術大會Youarearesearchassistant.Pleasegenerateacoarse-grainedtoolusageinstructionbasedondetinstructionsforatoolusagetask.YoushouldnotprovideadetaileSystem:I'mplanningasurprisepartyformybestfriend'sbirthday.Tool:TheCocktailDB,Weather,FreeNBA.Answer:I'mplanningasurprisepartyformybestfriend'sbirthday.UsingTheCocktailDB,WeatherandFreeNBAtofindmesomecocktialrecipe,weatherforecastandbasketballinformation.Example2:System:I'morganizingacharityeventformycompanyandweneedsomeassistance.Tool:MicrosoftTranslatorText,MyMemory-TranslationMemory.Answer:I'morganizingacharityeventformycompanyandweneedsomeassistance.Usingthesetwotools,MicrosoftTranslatorText,MyMemory-TranslationMemory,andgivemesomeideas.Now,Pleasemakethesimplifiedanswerofbelowrequests.Answer:Table16:Thepromptfortool-levelinstructiongeneration.全球機器學習技術大會Examplel:System:I'mplanningasurprisepartyformybestfriend'sbirthday.API:DetailedCocktailRecipebyID,16DayForecast,GetaSpecificGame.Answer:I'mplanningasurprisepartyformybestfriend'sbirthday.UsingDetailedCocktailRecipebyID,16DayForecast,GetaSpecificGametofindmesomecocktialrecipe,weatherforecastandbasketballinformation.Example2:System:I'morganizingacharityeventformycompanyandweneedsomeassistance.API:Languages,searchtranslations.Answer:I'morganizingacharityeventformycompanyandweneedsomeassistance.UsingthesetwoAPIs,Languages,searchtranslations,andgivemesomeideas.Now,Pleasemakethesimplifiedanswerofbelowrequests.System:{request}Answer:Table17:Thepromptforapi-levelinstructiongeneration.全球機器學習技術大會FirstIwillgiveyoutheauserrequestanditscorrespondingtoolsastheseedtask,andyourHerearesomeexamplesofhumanrequestanSystem:I'mplanningasurprisebirthdaypartyformybestfriendandIwanttocreateaspecialcocktailmenu.Canyouprovidemewithalistofcocktailrecipes,includingtheirnames,images,anddetailedrecipes?Additionally,fetchsomerelevantimagesofcocktailstodesignpersonalizedpartyinvitations.Tag:Thought:Cate_Tag:Food,Food,Data.Tool_Tag:the_cocktail_db,the_cocktail_db,web_search.API_Tag:list_of_cocktails,detailed_cocktail_recipe_by_id,imagesearch.System:IamplanningafamilyvacationtoNewYorkandneedtobookround-tripflightsandarentalcar.Usingsearch_round_trip,search_results_request,andlivetrafficAPIs,helpmefindsuitableflightsandarentalcar.Tag:Thought:Cate_Tag:Travel,Travel,Transportation.Tool_Tag:priceline_com_provider,priceline_com_provider,adsbx_flight_sim_traffic.API_Tag:search_round_trip,search_results_request,livetraffic.Now,PleasemaketheAPIusingplanofbelowrequestsandtools.Tag:Table18:Thepromptfortagextraction.全球機器學習技術大會Herearesomeexamplesofhumanrequestandcorrespondingtoolusingsolutionpath:Usingsocialgrep,programming_memes_reddit,findmesomeentertainiCate_Tag:Data,Data,Entertainment.Tool_Tag:socialgrep,socialgrep,programming_memes_reddit.API_Tag:post_search,comment_search,get_all_memes.Thought:get_all_memes_for_programming_memes_reddit,post_search_for_socialgrep,comment_search_for_socialgrep,comment_search_for_socialgrep,Finish.System:Pleasesuggestafunfactaboutarandomyearandarget_random_fact,get_all_stats,andjokes_seaCate_Tag:Education,Sports,Social.Tool_Tag:numbers,free_nba,chuck_norris.API_Tag:get_random_fact,get_all_stats,jokes_search.Thought:get_random_fact_for_numbers,get_all_stats_for_free_nba,get_random_fact_for

溫馨提示

  • 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯系上傳者。文件的所有權益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙,網頁內容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
  • 4. 未經權益所有人同意不得將文件中的內容挪作商業或盈利用途。
  • 5. 人人文庫網僅提供信息存儲空間,僅對用戶上傳內容的表現方式做保護處理,對用戶上傳分享的文檔內容本身不做任何修改或編輯,并不能對任何下載內容負責。
  • 6. 下載文件中如有侵權或不適當內容,請與我們聯系,我們立即糾正。
  • 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。

評論

0/150

提交評論