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1、GPT时代创业机会宜博LLMFarm创始人个人介绍?&CEO?MBA?TGO?TGO?AGI?5?2000?+?)为大家准备了我的个人数字分身名片,大家可以问它关于我今天演讲内容的问题1.?N?AI?2.?AI?First?3.?GPT?去?2023年是大语言模型元年2024年是大语言模型落地之年当下LLM落地象限外部人内部事管理营销业务产研报价方案电销话术产品咨询教育陪练简历匹配标书生成智能客服文案生成视频脚本标题生成广告词生成品牌故事SQL生成需求生成原型图转页面POC生成自动测试代码纠错知识库智能培训律师文案合规审查格式转化报销流程自动化 非结构+结构+工作流+专业数据+自动化AI Ag
2、ents 非结构+结构+工作流+专业数据GPTs 非结构+结构+工作流Workflow 非结构+结构化数据ChatBI 非结构化数据RAG7?3 3?20+20+?:?去?80%?CRM?HR?BP?SQL?BI8Visual Editor?去?去?LLMAPIDBP&PDatasetChat UIDomainModelAI First APP+CopilotAPI OutputIM APISQLNOSQLVectorInsideCloudMarketFoundationModelOpen Source ModelDomainModelPromptPlugin&Function CallPro
3、mpt WorkflowRAG&VectorDBAI AgentsSFT ModelPrompt OpsFine tuning Ops美国人All in大模型所有非AI项目VC不投中国人All in 大模型所有非AI项目预算不批在2023年1月-11月期间,招投标市场已经发起124次采购需求,涉及采购金额达29,696.81万元。7月起,随着国内130个大模型相继问世。11月迎来增长高峰,需求量较前月翻至近3倍。2024年,预计全国大模型涉及招投标采购金额是2023年的10-20倍+2023下半年平均项目预算呈现直线上升趋势,11月平均项目预算已突破五百万大关。大语言模型这次不是新的互联网而是
4、新的工业革命12?去?去?毛坯房精装房领包入住装修队装修培训装修工具装修全包服务行业场景区域能源&材料13AIAI?FirstFirst?GPT?First?去?-?ChatPDF?Character.AI?-?ChatBI?Cot?In contextlearning?Planning?AI?Agents-?Sandbox?AutoGPTAI?First?-?1.?2.?10?14?截止 2023 年 7 月,1500万用户,1700 万 bot2023年12月web访问量 1755wGenAI流量排行第7 15?16?1.?CPQ?9800?20?499?2.?CPQ?29800?30?8
5、99?:?LLMFarm?40?CPQ2?95?:?:?:?CPQ2?29800?2?=59600?:?40?30?899?40?30?=10?:?10?*899?*2?=17980?:?40?CPQ2?:59600?+17980?=77580?:?95?:?77580*95%=73701?:?LLMFarm?40?CPQ2?95?73701?40?CPQ?2?95?17?18?19AIAI?AgentsAgents?AutoAuto-GPTGPT?CommunicativeCommunicative?agents)agents)2020112011?大语言模型解决的是供需问题更有ROI价值的
6、是稀缺性的供给22FutureFuture?is is?comingcoming?Every?quadrant?will?give?birth?to?a?great?companyEvery?quadrant?will?give?birth?to?a?great?companyHuman ask AgentsAgents ask HumanAgents ask AgentsAgents Meeting23HumanHuman?askask?AgentsAgentsLots of FansLow FansLow Imitation difficultyHigh Imitation difficu
7、ltyEntertainment StarsInfluencer StarsReal Famous PeopleGame/Cartoon IPsHistorical PeopleVirtual Friends Virtual PartnerVirtual PetVirtual NPCSelf-AvatarFamily-AvatarC.AIReplicaGlowMyshellChatoXiaoiceCall AnnieCarynAI24AgentsAgents?askask?HumanHuman World model:Yann LeCunWhy need Agents ask Human?Ag
8、ents know more knowledge different Dimension.Ask human could convergent and fitting the better result.Example:When you want choose a phone,Agents could ask more questionWhich the different dimension of phones.25AgentsAgents?askask?AgentsAgentsTaskAsk AgentAnswerAgent AQuestion1Question1Answer Agent
9、BQuestion1Question1Agents could automatically ask&answer replicate questions.Summary and make out report.Save lots of time for both side.Example:Job InterviewVC Due DiligenceSoftware RequirementSocial Dating 26AgentsAgents?MeetingMeetingMake the Agents be a team and collaboration together.Example:AI
10、 town could simulate the people s life.ChatDev could simulate software water poll development.In future:We need to make more agents who have P&P knowledgework together for one particular task.Example:Simulate the Court and Lawyers debate for one particular case.Discussion on a certain advertising idea.未来GPT5降临今天我们做的事情还有多少有价值28GPT5GPT5?ComingComing比GPT4 1.8万亿大100倍接近于人脑100万亿参数VLM原生多模态模型GPT4 64kClaude 100k100M token长度29GPT5GPT5?ComingComing30?GPTGPT-5 5?个人观点1.非虚拟的,实体的,硬件的,物理的2.私有数据、隐私数据3.念Prompt咒语4.专业/领域模型5.服务而非工具THANKS