# CMU Advanced NLP F2025

https://cmu-l3.github.io/anlp-fall2025/assignments/assignment2

  
  
  
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# Assignment 2: End-to-end NLP System Building
**Type:** Group Assignment
**Released:** Thursday, September 25th
**Due:** Thursday, October 9th at 11:59 PM
![Min-Llama Assignment Diagram](https://cmu-l3.github.io/anlp-fall2025/assignments/_images/assignment2/RAG-CMU.png)
## Summary
In this assignment, you will implement core components of a Retrieval Augmented Generation (RAG) system that's capable of answering questions about Pittsburgh and CMU, including history, culture, trivia, and upcoming events. 
  * **Assignment Details:** Please find the details for the assignment [here.](https://github.com/cmu-l3/anlp-fall2025-hw2)
  * **Collaboration Policy:** Please read the collaboration policy [here.](https://cmu-l3.github.io/anlp-fall2025/#:~:text=Plagiarism/Code%20Reuse%20Policy%3A)
  * **Late Submission Policy:** See the late submission policy [here](https://cmu-l3.github.io/anlp-fall2025/#:~:text=all%20team%20members.-,Late%20Day%20Policy%3A,-In%20case%20there) and [here.](https://github.com/cmu-l3/anlp-fall2025-hw2?tab=readme-ov-file#release-policy-for-late-days)
  * **Submitting your work:** You will use Canvas to submit your implementation files and output results. Please follow the submission instructions carefully to ensure proper grading. See the submission guidelines [here.](https://github.com/cmu-l3/anlp-fall2025-hw2?tab=readme-ov-file#submission--grading)