Geminight

Name: Geminight
Start: 2024-03-14T17:00:00+01:00
End: 2024-03-14T21:00:00+01:00
Location: Google Brussels

Google Brussels, 180 Chaussée d'Etterbeek, Brussel, 1040

GDG Cloud Belgium

Unlocking the Power of LLMs in Enterprises using Google Cloud.  This meetup will be all about LLMs! Our speakers from Google and Xebia will tell you all about the possibilities- and challenges of building LLM-driven applications.

Mar 14, 4:00 – 8:00 PM

110

RSVP'd

Key Themes

AICloudEnterprise/Business SolutionsGeminiMachine LearningVertex AI

About this event

Our speakers from Google and Xebia will tell you all about the possibilities- and challenges of building LLM-driven applications. First, Google, will showcase how Google can be leveraged to build LLM driven applications. Moroever, we will dive deeper into Gemini, Google’s latest state-of-art GenAI model. Second,  Xebia , will talk about how to bring your GenAI applications into production, and how it differs from traditional ML use cases. Thirdly, Xebia, will delve into practical use cases for integrating GenAI into Workplace Apps. 

When

Thursday, March 14, 2024
4:00 PM – 8:00 PM UTC

Where

Google Brussels
180 Chaussée d'Etterbeek
Brussel, 1040

Agenda

Arrival & drinks
Google: Introduction to Google Cloud LLMs and Gemini.	During this presentation, we'll delve into the latest advancements from Google in the field of Generative AI, with a particular focus on Gemini, the company's newest multi-modal Generative AI model. Gemini is Google’s most capable and general model yet, with state-of-the-art performance across many leading benchmarks. During this talk, Google will provide an exploration of Gemini, both the Pro- and Ultra versions. Moreover, Google will showcase how Gemini can be leveraged to build LLM-driven applications on Google Cloud. Don't miss out on this possibility to learn more about Gemini's potential and how it can open up new possibilities for innovation within your organization.
How to bring your GenAI applications into production: moving from MLOps to LLMOPs	How to bring your GenAI applications into production: moving from MLOps to LLMOps Erdem from Xebia Data will delve deeper into the challenges of bringing GenAI applications into production. He will explore the possibilities and challenges surrounding LLMOps (Large Language Model Operations). Moreover, Erdem will highlight how LLMOps architectures differ from traditional MLOps architectures. This is a unique opportunity to gain a practical understanding of the challenges and solutions involved in implementing these systems.
Break
GenAI in Workplace Apps	Xebia, will delve into practical use cases for integrating GenAI into Workplace Apps. Workplace Apps are designed to enhance productivity and optimize the user experience within Google Workspace and other tools. These applications leverage no-code, low-code, and high-code solutions, including AppSheet, Google AppsScript, Python, and more, to streamline processes and automate workflows.
Pizza & Drinks