feat: nlp module from last year

AI/Day5/README.md

@@ -1,22 +1,18 @@
 # ~ PoC AI Pool 2024 ~
 
-- ## Day 5: GNNs, NLP, and more
-  - ### Module 1: Graph Neural Networks
-    - **Notebook:** [`gnn.ipynb`](./gnn.ipynb)
-  - ### Module 2: Natural Language Processing
+- ## Day 5: NLP
+  - ### Module 1: Natural Language Processing
     - **Notebook:** [`nlp.ipynb`](./nlp.ipynb)
 
 ---
 
 **The finish line is near !**
-On today's menu, we'll explore various topics within the field; such as graph neural networks and natural language processing.
+On today's menu, we'll explore the field of natural language processing.
 
 > Here's a list of resources that we believe can be useful to follow along (and that we've ourselves used to learn these topics before being able to write the subjects):
 
 ## Module 1
 
-- [Maxime Labonne](https://mlabonne.github.io/blog/)
-  - [Hands-On GNNs](https://mlabonne.github.io/blog/book.html)
-  - [GNN articles](https://mlabonne.github.io/blog/posts/2022_02_20_Graph_Convolution_Network.html)
+- [Introduction to Natural Language Processing - Data Science Dojo](https://youtube.com/watch?v=s5zuplW8ua8)
 
 ## Module 2