LLM部署导航：技巧、窍门和方法.pdf

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1、Navigating LLM Deployment:Tips,Tricks,and TechniquesMeryem Arik,Co-founder/CEO TitanMLHi there!Im Meryem Arik Co-founder&CEO TitanMLPhysicist Banker AIBig fan of rugby&dogs At TitanML we build infrastructure to make it easier to serve LLMs efficiently at scale(Titan Takeoff Inference Server)Russell.

2、Hes a data scientist at a hedge fund.Dr Jamie Dborin.Hes the CSO at TitanML&a researcher in efficient LLM inference.Agenda1.Why is LLM(AI)Deployment hard?2.Practical tips/tricks/techniques to better LLM(AI)DeploymentWhat have you been up to?Working on making LLM serving easier and more scalableThis

3、interaction is inspired by real events.Is LLM Deployment even hard?Dont you just call the OpenAI API?Well sorta.This interaction is inspired by real events.“Is LLM Deployment hard?Dont I just call the API?”“Is LLM Deployment hard?Dont I just call the API?”Self-hosted Open-Source LLMsHosted LLM API S

4、ervicesHosted APISelf-hostedWhich models?Mainly proprietaryOpen-SourceWhere is it deployed?Normally 3rd party providers environmentIn your own secure environment,VPC or On-prem“Ok cool,but why would I want to self host anyway?Lots of reasons!This interaction is inspired by real events.Why Self Host?

5、10Decreased Cost1 https:/betterprogramming.pub/you-dont-need-hosted-llms-do-you-1160b2520526Improved PerformancePrivacy&Security“I guess for my use case privacy is super important to me,so I think it makes sense to self-host.But how much harder can it really be than using the OpenAI API?Much harderT

6、his interaction is inspired by real events.“So I want to self host how much harder can it be than using the OpenAI API?”Dont ignore the complexity you dont see!But I deploy ML models all the time,how much harder is it to deploy LLMs?Much harder.Do you know what the L in LLM stands for?This interacti