包阅导读总结
1. 关键词：Analytical AI Agents、Looker、Trust Metrics、Training Process、Data Empowered Users
2. 总结：本文主要介绍了将 Gemini 和 Looker 进行端到端通信，通过语义层等提高体验准确性，还阐述了训练过程类似传统分析问题，给出常见业务问题和预期结果能提高自动生成响应的准确性，强调在商业智能中提供可信 AI 降低使用门槛，增长数据驱动用户。
3. 主要内容：
– 实现 Gemini 和 Looker 端到端通信
– 借助强大语义层、语言模型基础和提示训练提高准确性
– 类似于创建自助式分析，关注用户和问题来优化体验
– 训练过程揭秘
– 与传统分析问题相似，确定业务问题和预期结果来改进响应准确性
– 降低门槛，增长数据驱动用户
– 推动商业智能中可信 AI 发展
– 简化界面，其他客户用于一线员工获取快速答案
– 鼓励与谷歌数据云合作，或自行在谷歌云控制台访问相关模型实现分析 AI 代理用例
思维导图：
文章来源：cloud.google.com
作者：John Marshall
发布时间：2024/8/28 0:00
语言：英文
总字数：1011字
预计阅读时间：5分钟
评分：88分
标签：人工智能驱动的 BI,大型语言模型,Looker,语义层,Google Cloud
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Getting Gemini and Looker to communicate end-to-end is trivial. The accuracy of the experience is unlocked through a robust semantic layer, the grounding of the language model and prompt training to tune Gemini to accurately translate the question and select the right objects in LookML. Creating data agents with Gemini is very similar to creating curated self-service analytics – we focus on the end user, the questions they need to be able to answer and then curate the experience.
Demystifying the training process
Training sounds complicated, but it’s really similar to a traditional analytics problem. Just like when we build a dashboard, we identify the business questions our end users need to be able to answer and then build a set of visualizations to help make decisions.
In the training process, we’re taking the same approach. We come up with a list of business questions and provide Gemini the expected Looker Explore result. By providing Gemini common business questions and the expected results, you will see dramatic improvements in the accuracy of the auto-generated responses.
Lowering barriers grows data-empowered users
The delivery of trusted AI in Business Intelligence (BI) is a significant development for internal and productized analytics. We are breaking down even more barriers to adoption as we simplify the interface for users to answer data questions. Other customers are leveraging AI in BI to deliver analytics to their front line workers who just need a quick answer.
We’re excited to partner with Google Data Cloud to demystify the process and deliver accurate, governed AI-powered BI. Reach out to Bytecode if you are searching for an experienced partner to help realize your analytical AI agent use cases, or visit the Google Cloud console to access Looker, Vertex AI and Gemini models to get started on your own.
