LangChain is the most popular open-source framework for building LLM-based apps. Google Cloud is the easiest place to deploy LangChain apps to production. In this session technical practitioners will learn how to combine LangChain on Cloud Run with Cloud SQL's pgvector for vector storage and Vertex Endpoints to create generative AI applications.

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Building an assistant capable of answering complex, company-specific questions and executing workflows requires first building a powerful Retrieval Augmented Generation (RAG) system. Founding engineer Eddie Zhou explains how Glean built its RAG system on Google Cloud— combining a domain-adapted search engine with dynamic prompts to harness the full capabilities of Gemini's reasoning engine. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Evaluating, orchestrating, and monitoring large language models (LLMs) requires a new developer toolkit to more confidently build LLM-powered applications. Join experts from Weights & Biases, Arize AI, Securiti AI, and LlamaIndex to discuss tools, methods, and best practices to take AI applications from prototype to production.

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As more organizations adopt open database standards, they need easy-to-use, high-performance migration tools, especially for heterogeneous migrations. In this session, we will focus on how Database Migration Service (DMS) is revolutionizing migrations from Oracle to AlloyDB for PostgreSQL. With a unique set of capabilities, DMS is harnessing the power of AI to accelerate these migrations and to improve developer productivity with last-mile code conversion and code explainability.

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In this mini course, you will be introduced to the Grounding in Vertex AI Search and Conversation. Grounding lets you use language models to generate content grounded in your own data corpus. This capability lets the model access information that goes beyond its training data. By linking to designated data stores within Vertex AI Search, the grounded model can produce more accurate and relevant responses.

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Build cloud solutions faster and smarter with Prompt Design in Vertex AI. Work your way towards earning a Google Cloud skill badge while being introduced to GenAI, powered by Google's advanced Gemini AI. Your session will include a presentation and hands-on practice with the learning labs included in this Skill Badge, followed by an overview of the requirements that will be evaluated to earn this credential. The challenge lab, to be completed after the session, takes the learner on a journey of crafting effective prompts, applying Gemini models to create new product descriptions in a real-world marketing scenario, and running, testing and modifying generative AI code using Jupyter Notebooks. Experience the future of cloud development today!

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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.

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You’re the true hero of this story for building an enterprise scale application with Firebase. Every Firebase project is a Google Cloud project, so let’s learn how to make it a super AI-app this year. This superhero duo is ready to save the day, extending Firebase with Google Cloud served by Gemini as our tireless AI assistant. They have all the services in their platform tool belts to secure, scale, and advance your AI apps. So, are you ready to unleash your app’s superhero potential?

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Go from a cost center to a value driver to a profit center – transform your data team with Looker in 2024. For many small businesses today, data is still viewed as a cost center and operational expense. However with solutions such as BigQuery, Looker, and Gemini in Looker, companies have the ability to transform their data teams into value drivers and direct contributors to the bottom line. But where should you begin?

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Implementing generative AI applications with large language models (LLMs), and diffusion models requires large amounts of computation that can seamlessly scale to train, fine-tune, and serve the models. Google Cloud TPUs. Cohere is leveraging the compute-heavy Cloud TPU v4 and v5e to train sophisticated gen AI models that meet the heightened needs of their enterprise users. Check out how Cohere and Cloud TPUs are delivering enterprise-tailored large language models (LLMs) that can help increase business productivity by automating time-consuming and monotonous workflows. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Applications of all types continue to be born and migrated to the cloud. Managing and troubleshooting applications in these environments benefits from continuous improvements in both tools and techniques. But with these tools come growing complexity and volumes of information, alongside increased expectations for rapid resolution. In this session we review how to best combine modern operations on Google Cloud with AI assistance along the way provided by Gemini. Understand how AI helps you focus your effort where it can be most effective.

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Join us to learn how Generative AI is revolutionizing financial services. Hear how Flybits has found success developing unique AI use cases for financial organizations, how V7 Labs has integrated Gemini Pro into their LLM product and how Bud is using LLMs to drive hyper-personalization in banking.

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Join our GenAI experts for a 2-hour informative hands-on lab featuring advanced Google Gemini tips and tricks. Learn how to integrate Gemini advanced embedding techniques to improve search and question-answering systems. This session will include live demos and hands-on activities.

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Discover how to build a customized, AI-powered Business Intelligence solution.In this hands-on workshop, you'll learn to integrate Looker, Gemini and Vertex AI, to: - Generate queries and visualizations effortlessly using natural language with Looker's AI Explore Assistant. - Extract instant insights from dashboards with AI-generated summaries and actions. - Understand the powered by Looker platform to build new data experiences with leveraging the entire Google Cloud ecosystem Join us and learn to architect innovative, AI-powered analytics with Looker and Vertex AI!

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On any given day, millions of small businesses rely on Google Workspace to connect, create, and collaborate. Join our panel of SMB leaders as they share how their teams use Workspace to punch above their weight – from iterating faster with real-time collaboration in Docs, Sheets, and Slides to expanding their capabilities with Gemini.

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Join us to learn customer-proven strategies for AI-powered innovation and modernization, leveraging the best of public cloud, edge, sovereign, and cross-cloud infrastructure and services. See how leaders are achieving real business outcomes faster and more cost-effectively in industries like retail, healthcare, and even the most stringent regulated industries. Plus, see how Gemini is dramatically simplifying and reimagining cloud as we know it.

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Join us in this fireside chat with Phillipp Schmid, Technical Lead of Hugging Face, a collaboration platform for the machine learning community where anyone can share, explore, discover, and experiment with open-source ML. Phillipp will talk about the benefits of open source going into production with generative AI applications – everything from versioning, evaluating, monitoring, and data drift. He will highlight the challenges of evaluating large language models (LLMs), including what works today and where we need to improve. Join us for his thoughts on the role of cloud computing in accelerating AI and how Hugging Face is leveraging it to build an open, ethical, and collaborative AI future.

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Gemini in Looker has made the most complex data actions simple, letting you chat with your business data. The latest advancements in Google's business intelligence (BI) suite bring insights to your users and customers, and form the basis of your own data-driven applications. This session will show you how we are building the future of BI with AI at the center, and keeping our focus on an open ecosystem that enables you to bring all your important data and share it with your teams – all driven by generative AI.

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Curious to understand how Gemini in Gmail, Google Drive, and other Google Workspace apps can ground their generated responses based on your documents and emails while keeping your organization’s data private? Still have questions about what Gemini does and does not do with your data? Join this session to get answers to your questions, learn more about the built-in privacy and security controls in Gemini for Google Workspace, and understand how your organization can achieve digital sovereignty with Sovereign Controls.

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Google stands at the forefront of innovation and AI across its many divisions. Hear from Google executives about the impact of the Gemini Era, how AI is shaping the future of business and how enterprise executives can boldly approach innovation.

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