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Topic

LLM

Large Language Models (LLM)

nlp ai machine_learning

165

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2020-Q1 2026-Q1

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Gain insight into building domain-specific GenAI applications for the enterprise through the lens of the legal use case. Discover essential components of a comprehensive LLM ecosystem and operational model, and strategies for delivering relevant, accurate outputs with safe and ethical guardrails. Hear from PwC's Vince DiMascio on the real-world insights from a venture capital firm's successful legal GenAI implementation

Don't miss this opportunity - discover the power of GenAI.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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.

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.

Discover the power of gen AI in boosting developer productivity and innovation. Through in-depth demos, we'll showcase how to use gen AI to enhance developer productivity across the software development lifecycle. You’ll also learn how to easily build production-grade gen AI applications using Google Cloud technologies and your favorite ecosystem tooling. We’ll share the latest releases and features across many of your familiar developer products such as Gemini, Firebase, and more. Additionally, our customers will share their firsthand experiences using AI to accelerate time-to- market.

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.

A day in the life of a Google Cloud developer typically involves the use of multiple Google Cloud products and services. These products enable the developer to develop, test, deploy, and manage applications in the cloud. With assistance from Gemini, a developer can become more productive when using Google Cloud's products by using Gemini's interactive chat, code assistance, and embedded integrations. In this spotlight lab you will explore Gemini in an hands-on lab environment to see the different ways in which Gemini can be used in your development workflows.

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.

The reality is no one LLM will always be completely safe. The good news is that hallucinations can tell you where your AI lifecycle needs more attention. Learn how you can modernize your Google AI infrastructure to preemptively avoid some of the common weak spots and how you can build an AI stack that will give you the agility to fix problems as they occur. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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.