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Introduction to Large Language Models

This workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM, their working, how to fine-tune a pre-trained LLM for your own data and ponder on the ethics of AI.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Learning objectives

At the end of this workshop, you will be able to:

  1. Understand architecture and working of LLM
  2. Fine tune pre-trained LLM model to customize for a sample dataset
  3. Understand various aspects of using LLMs for research.

Schedule

0:00 Welcome and using Zoom
0:05 About LLM - Working
0:45 Customizing LLMs - Fine tuning
1:00 AI Literacy and Ethical AI
1:10 Wrap up and Discussion

Slides

Find the workshop slides below or open it in a new tab:

Resources