5-Days of Generative AI - Day 2

Computer Lab 4, University of Embu, 6 - 60100, Embu, 60100

GDG on Campus University of Embu - Embu, Kenya

From prompt engineering to MLOps, discover the full spectrum of Generative AI! Join us as we explore foundational LLMs, learn how to work with embeddings and vector databases, build intelligent AI agents, and discuss domain-specific applications and deployment strategies.

Feb 19, 4:00 – 6:00 PM (UTC)

11 RSVP'd

Key Themes

AIGeminiGemmaKaggleMachine LearningTensorFlowVertex AI

About this event

Here's a glimpse of what we'll cover:

Day 1: Foundational LLMs and Prompt Engineering: We'll explore the building blocks of Generative AI, diving into Large Language Models (LLMs) and mastering the art of crafting effective prompts to get the results you want.

Day 2: Embeddings and Vector Databases: Discover how to represent and store information in a way that AI can understand, unlocking the power of semantic search and enhanced AI capabilities.

Day 3: Generative AI Agents: Learn how to create intelligent agents that can interact with the world, make decisions, and automate complex tasks using the power of Generative AI.

Day 4: Domain-Specific LLMs: Explore the world of specialized LLMs tailored for specific industries and use cases, allowing you to build highly accurate and efficient AI solutions.

Day 5: MLOps for Generative AI: We'll discuss the essential practices for deploying, managing, and scaling your Generative AI projects, ensuring they are robust and performant in real-world environments.

Join us to gain a practical understanding of Generative AI and learn how to apply these cutting-edge techniques to your own projects. 

When

When

Wednesday, February 19, 2025
4:00 PM – 6:00 PM (UTC)

Facilitator

  • Erick Mwangi

    University of Embu

    GDGoC AI ML Lead

Organizers

  • Alex Nyambura

    Postman

    Postman Student Leader

  • Erick Mwangi

    GDG on Campus Lead

  • Faith Kiprono

    GDGoC

    Co - Lead

  • Martin Muchiri

    Cyber Security Lead

  • Vickrose Gitau

    AI ML Lead

  • Charles Muthui

    IOT and Robotics Lead

  • Ephey Nyaga

    Backend Development Lead

  • Logan Nkirote

    Frontend Web Dev Lead

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