AI is all the rage these days, but how can you make practical use of it without spending months of time learning this new technology? This session explains how to build an AI-powered content search tool for your own content in an afternoon, with a useful AI development pattern called retrieval augmented generation (RAG). We will demonstrate an updated version of the Docs Agent project that uses the Gemini API.
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Google Cloud Next '24
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Go beyond traditional DevRel! Learn how to supercharge your developer experience with the combined power of Firebase, Google Cloud, and communication APIs. Discover unconventional strategies, from gamification to controlling devices via messaging apps. Gain actionable insights to fuel community growth.
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by
Kel Markert
(Google Cloud)
,
Dan Ames
(Brigham Young University)
,
Michael Ames
(SADA, An Insight Company)
U.S. floods cause ~$3B in damage annually. The National Oceanic and Atmospheric Administration predicts changing water levels, giving scientists and managers time to act. However, the massive archive of forecasts is too complex for typical users. Learn how BYU and U of Alabama, with SADA and Google, are using BigQuery, Cloud Run, DataFlow, and API Gateway to make these forecasts accessible for mobile apps, flood-warning systems, and more, addressing crucial concerns like rising river levels or the likelihood of flooding.
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Marsh McLennan runs a complex Apigee Hybrid configuration, with 36 organizations operating in six global data centers. Keeping all of this in sync across production and nonproduction environments is a challenge. While the infrastructure itself is deployed with Terraform, Marsh McLennan wanted to apply the same declarative approach to the entire environment. See how it used Apigee's management APIs to build a state machine to keep the whole system running smoothly, allowing APIs to flow seamlessly from source control through to production.
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In this mini course you will learn about different prompt design and engineering techniques commonly used in LLM-powered applications such as few-shot prompting and chain of thought reasoning. You will then apply these practices in a hands-on lab environment using the PaLM and Gemini Pro APIs.
Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.