AthNLP 2025

Exercises for the lab sessions of AthNLP 2025. Everything has been setup to run from a Jupyter Notebook/Google Colab.

The labs will cover the following topics:

Lab	Topic	Task	Solutions
0	Preliminaries: Word Embeddings & Preprocessing, nn.module Anatomy, Tensor Operations	labs/athnlp_lab_0.ipynb
1	Text Classification	labs/athnlp_lab_1.ipynb
2	Language Modeling from Scratch	labs/athnlp_lab_2.ipynb
3	Transformers and Attention	labs/athnlp_lab_3.ipynb
4	Neural Machine Translation	labs/athnlp_lab_4.ipynb
5	Prompt Engineering with LLMs	labs/athnlp-lab5.ipynb
6	LLM Agents	labs/athnlp_lab_6.ipynb

Introductory Material

Here is a quick list of some useful tutorials to get you up to speed with Python, Numpy and Pytorch:

• Introduction to Python
• Introduction to Numpy
• Introduction to PyTorch from the official PyTorch website:
  • Quickstart tutorial
  • Tensors tutorial
• Tensor Broadcasting Puzzles: https://github.com/srush/Tensor-Puzzles