AthNLP 2024

Exercises for the lab sessions of AthNLP 2024. Everything has been setup to run from a Jupyter Notebook/Google Colab.

The labs will cover the following topics:

Lab	Topic	Task	Solutions
1	Word Embeddings and Text Classification	labs/athnlp_lab_1.ipynb	labs/athnlp_lab_1_solution.ipynb
2	Neural Language Modeling	labs/athnlp_lab_2.ipynb	labs/athnlp_lab_2_solution.ipynb
3	Sequence Structured Prediction	labs/athnlp_lab_3.ipynb	labs/athnlp_lab_3_solution.ipynb
4	Transformers and Machine Translation	labs/athnlp_lab_4.ipynb	labs/athnlp_lab_4_solution.ipynb
5	Retrieval Augmented LLMs for Biomedical QA	labs/athnlp24-rag-lab.ipynb
6	Vision and Language Models	labs/athnlp_lab_6.ipynb	labs/athnlp_lab_6_solution.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