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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.
At the end of this workshop, you will be able to:
- Understand architecture and working of LLM
- Fine tune pre-trained LLM model to customize for a sample dataset
- Understand various aspects of using LLMs for research.
| 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 |
Find the workshop slides below or open it in a new tab:
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