LLM Workshop: Deploying Large Language Models on GCP using RAG

IE University, Calle de María de Molina, 31, Madrid, 28006

This workshop is a masterclass in leveraging the power of RAG for combining the raw power of LLMs with the specificity of information retrieval. This session aims to bridge the gap between academic knowledge and practical skills in cloud-based AI.

May 8, 2:00 – 3:15 PM

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Key Themes

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About this event

🚀 Launch into the forefront of cloud computing and AI with our hands-on workshop on deploying a large language model (LLM) on Google Cloud Platform (GCP) using Retrieval-Augmented Generation (RAG).

This workshop is a masterclass in leveraging the power of RAG for combining the raw power of LLMs with the specificity of information retrieval. This session aims to bridge the gap between academic knowledge and practical skills in cloud-based AI.

🌟 Session Highlights:

- Model Deployment: Receive step-by-step guidance on deploying LLMs to GCP, with a focus on integrating RAG for heightened performance.

- API Connectivity: Engage in practical demonstrations on API integration to facilitate real-time AI interactions.

- Optimization Techniques: Discover methods for fine-tuning your LLM and RAG setup, optimizing for both efficiency and cost.

🧠 Why Attend?

- Transition from theory to practice with immersive, hands-on experiences in cloud AI deployments.

- Acquire forward-thinking skills pivotal for the emerging landscape of cloud services and AI technologies.

👥 Who Should Attend?

- Master’s students and aspiring professionals in Computer Science, AI, and related disciplines looking to advance their practical skill set.

- Developers and future cloud engineers aiming to deepen their expertise in AI model deployment.

- Innovators seeking to understand the synergy between AI and cloud platforms.

🎯 **Join us and connect academic learning with real-world applications. Stand at the forefront of the AI and cloud computing revolution!**

When

When

Wednesday, May 8, 2024
2:00 PM – 3:15 PM UTC

Organizers

  • Desislava Tsankova

    GDSC Lead

  • Keti Sulamanidze

    GDSC Lead

  • Emili Khachatryan

    GDSC Lead

  • Miranda Drummond

    Tech Lead

  • Armand Hubler

    Tech Lead

  • Ronald Beltrán

    Tech Lead

  • Juan Viaud

    Micromanagement Lead

  • Sophia Isabella Hurtado

    Communications Lead

  • Iñigo de Dios

    Tech Lead

  • Cesar Garcia

    Tech Lead

  • Naji Danial

    Managerial Lead

  • Togzhan Kapenova

    Communications Manager

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