Lecture 9: Generating Responses with LLMs in RAG

GDG on Campus University of Management and Technology - Lahore, Pakistan

Learn how to generate high-quality responses using LLMs in a Retrieval-Augmented Generation (RAG) system. This lecture covers integrating LlamaIndex with LLMs, best practices for response generation, and a hands-on session to implement these concepts effectively.

Apr 4, 3:00 – 4:00 PM (UTC)

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About this event

In this lecture, we will explore the process of generating accurate and contextually relevant responses using Large Language Models (LLMs) within a Retrieval-Augmented Generation (RAG) framework. We will begin by understanding the role of LlamaIndex in structuring and retrieving data efficiently. Then, we will discuss best practices for integrating LLMs with RAG, including prompt engineering, retrieval optimization, and response validation. The session will also feature a hands-on implementation where participants will use LlamaIndex to enhance response generation in a practical RAG-based system.

Organizers

  • Noor Ul Hassan

    Campus Lead

  • Mohibullah Atif

    Campus Co-Lead

  • Abdullah Faisal

    AI/ML Lead

  • Khawaja Muhammad Bilal

    Credminds

    Web Development Lead

  • Muhammad Uzair

    Upwork INC

    App Development Lead

  • AHSAN TARIQ

    Game Dev Lead

  • RESHMAIL FATIMA

    Stewart Title

    Generative AI Lead

  • Zainab Manzoor

    Women In Tech Lead

  • Rabia Khalid

    Media Lead

  • Masroor Ahmed

    Marketing Lead

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