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Your LLM, Your Data.pdf

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1、Your LLM,Your Data,Your InfrastructureSharon Zhou,PhDCofounder&CEO,Lamini realSharonZhouDatabricks20231_DAIS_Title_SlideDemoPlay with this LLM at app.lamini.aiWe couldnt have gotten to this level of LLM use and accuracy without Lamini.VP Eng/Director,BigTech(Fortune 10)Why train your own LLM?You wan

2、t LLMs in your productsYoure not alone:Over 20%of S&P 500 have AI in earnings calls,Q1 2023Add magic to your product,acquire new customers,increase your top line.For example:Customers can answer their own questions in seconds.Access all of your documentation with personalized information.Every new f

3、eature would be 10 x faster to build with a copilot.Reduce your engineering and operational costs.Generative AI is the next platformAI is about using data to craft the right use cases.Like the last platform,e.g.mobile,you need in-house know-how to be at the cutting edge.Our own LLM,trained with Lami

4、ni,was the best and closest to our use case in a blind test,comparing the model to ChatGPT with retrieval.Prompt engineer,Midsize AI startup1_DAIS_Title_SlideLevel up from promptsOff-the-shelf LLMs arent perfectLack personalization to:Your data Your use casesImagine how powerful GPT-4 would be if ad

5、apted to your business!Hundreds of engineering leaders have told us these reasons:Youre worried about:Data leaks from a 3rd partySending all of your IP and source codeGiving up data moatYou dont want an update which happens often to break your critical use cases.Your other option:Hire dozens of top

6、AI researchersLike Github did for CopilotLike OpenAI did for ChatGPTThese LLMs are trained on someone elses dataYou cant just hand over proprietary dataThese LLMs need reliability&maintenanceHow to train your own LLMs1_DAIS_Title_SlideTrain

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本文主要介绍了为什么企业和组织应该训练自己的大型语言模型(LLM),并以Lamini为例,展示了如何在自己的基础设施中训练LLM。文章指出,超过20%的标普500公司在其财报电话会议中提到了AI,强调了AI在企业中的重要性。训练自己的LLM可以为企业带来许多好处,例如提高产品魔力,吸引新客户,增加收入等。同时,文章也提到了使用现成的LLM存在的风险和问题,例如数据泄露、知识产权和数据隐私等。最后,文章详细介绍了如何在自己的Databricks集群中训练LLM,强调了拥有自己的LLM、数据和基础设施的重要性。
如何确保LLM的训练数据不泄露? 如何定制GPT-4以适应您的业务需求? 如何在保持数据隐私的同时训练自己的LLM?
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