《谷歌云：通过运营数据库充分释放生成式AI潜力：云端生成式AI应用开发指南（英文版）（22页）.pdf》由会员分享，可在线阅读，更多相关《谷歌云：通过运营数据库充分释放生成式AI潜力：云端生成式AI应用开发指南（英文版）（22页）.pdf（22页珍藏版）》请在三个皮匠报告上搜索。

1、Your guide to generative AI app development Unlockinggen AIs full potentialwith operationaldatabases2Everyone is talking about gen AI.It can improve search.It can personalize customer interactions.It can increase your developer productivity.It can even write bedtime stories.As a developer,you alread

2、y know that successful data collection,processing,and visualization can bring an app to life.But gen AI has raised the potential of data by leaps and bounds.In the AI era,developers have the opportunity to become bigger stakeholders in the enterpriseproducing insights that can only be found with pow

3、erful models and quality code.But for many developers,theres a chasm between the promise of AI models,including large language models,and the reality of putting them to work in enterprise use cases.Thats because AI models trained on generalized data are limited to answering general questions.Answeri

4、ng specific questions(like“Whats my account balance?”or“Do you have a size 8 in stock?”)requires integrating business-specific operational information.Your databases can bridge this gap.Operational databases help you create apps that are accurate in real time,contextual to the users experience,and r

5、eliable.Well show you how to get started in this guide.Using databases to build better generative AI apps Looking to get started right away?Jump to the four pillars for successful gen AI apps on page 6.3Todays users expect immediate and accurate answers to their questions.So your app is under pressu

6、re to deliver.Most of the information theyre looking for sits in your operational databasessuch as your CRM,ERP,and e-commerce data.Questions like:General purpose AI models cant answer questions like this on their ownthey need the information contained in your operational databases.And so,to meet us