Sunday - 17 August

JOSA Workshop | Introduction to Language Models

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In this hands-on workshop, we’ll explore three ways to work with AI models: building from scratch, tapping into pre-trained models, and fine-tuning them for your own needs. Starting by covering the essentials of data collection, cleaning, model creation, and integration, giving you practical experience with realistic workflows.

You’ll also learn how to integrate AI into your projects using APIs and libraries, and get comfortable fine-tuning models with the Transformers library.

By the end of the workshop, participants are expected to:

  • Be able to use trained or pretrained models in code for a number of tasks
  • Fine-tune specific models to fit specific datasets
  • Understand examples in which AI is integrated into applications

Who Should Join?

This workshop targets IT university students and beginners, including those who want to better integrate AI in their code or start working with language models.

Requirements

Generic Python knowledge (Beginner–Intermediate level)

Outline

14:00 - 16:00

 

Introduction to ML & Supervised Learning

  • Data collection & cleaning with Pandas/Google Sheets
  • Choosing & training models (Random Forest, Linear Regression)
  • Plotting results with Matplotlib

16:00 - 16:15

 

(Break)

16:15 - 17:00

 

Integrating a Pretrained Model

  • Using libraries & APIs (e.g., Gemini)

17:00 - 18:00

 

Fine-Tuning a Pretrained Model

  • Using the Transformers library (BERT)
  • Adapting with new data

Registration

This workshop is free of charge, but seats are limited.

  • The workshop is intended for university students in the IT fields.
  • Apply to this workshop by filling the form below. No other confirmation is needed.
  • Priority is given to JOSA Members.

 

 

Facilitator

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Hasan Shkoukani

Software Engineer, Near East University

Date and Time

Sunday, 17 August 2025

From 14:00 to 18:00 Jordan Time


11:00

From 11:00 to 15:00 UTC

Location

Gaming Lab - King Hussein Business Park

Building No. 24

Amman, Jordan