# Language Models beyond Natural Language - Large Language Model Applications / Spring 2026

https://cmu-llms.org/assignments/03

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[**Large Language Model Applications**](https://cmu-llms.org/ "Large Language Model Applications / Spring 2026 - Carnegie Mellon University")   
Spring 2026  |  
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# Assignment #3 - Language Models beyond Natural Language
Released on 
Due Date: 11:59 PM, Thursday, Apr 16
Download [[questions](https://storage.googleapis.com/cmu-llms/2026/11_766_2026_homework3.pdf)] [[submission template](https://storage.googleapis.com/cmu-llms/2026/11-766-hw3-solution-template.tex)] 
  

The homework instructions can be downloaded [here](https://storage.googleapis.com/cmu-llms/2026/11_766_2026_homework3.pdf). The IPython starter code for problem 1 can be downloaded [here](https://storage.googleapis.com/cmu-llms/2026/11766_hw3_q1.ipynb), and for problem 2 can be downloaded [here](https://storage.googleapis.com/cmu-llms/2026/11766_hw3_q2.ipynb). The LaTeX solution template can be downloaded [here](https://storage.googleapis.com/cmu-llms/2026/11-766-hw3-solution-template.tex).
To submit the assignment please upload the following files to gradescope.
  * `report.pdf`: Report containing written solutions using the above latex solution template.
  * `11766_hw3_q1.ipynb` : Ipython notebook with code and solution for problem1
  * `11766_hw3_q2.ipynb` : Ipython notebook with code and solution for problem2


Please do note that the names are case sensitive and only the files with the above names would be accepted. Please check for feedback on gradescope and let us know if you face issues.
### Revision Log
  * `apr13`: Updated the Q1 notebook to match the PDF. For Q1, Q1.3 has parts A-D (with the deployment-reflection question as Q1.3.D), Q1.4 has parts A-C, there is no Q1.5, and a LaTeX solution template has been added.


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