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Introduction to Large Language Models (LLMs)

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

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.

The first hour of the workshop will be core content and the last 30 minutes will be reserved for questions and hands on experimentation.

Learning objectives

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

  1. Understand architecture and working of LLM
  2. Gain knowledge of some popular pre-trained LLM models
  3. Fine tune pre-trained LLM model to customize for a sample dataset.
 

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Location Details

Location:
*ONLINE*

If you have any questions, concerns, or accessibility needs please email eka.grguric@ubc.ca.

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This event is online. Registrants receive the link 24 hours before the event. Registration closes at the same time.
Date:
Wednesday, August 21, 2024
Time:
1:00pm - 2:30pm
Audience:
  All     Faculty     Graduate  
Categories:
  Digital Scholarship     Research Commons  
Presenter(s):
Aisha Eldeeb

Registration is required. There are 151 seats available.

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Presenter(s)

Aisha Eldeeb

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