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# System prepended metadata

title: 'CS410/1411 Homework 10: LLMs'

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# CS410/1411 Homework 10: LLMs

==**Due Date: 12/5/2025 at 11:59pm**==

**Need help?** Remember to check out [Edstem](https://edstem.org/us/courses/85591) and our website for TA assistance.


## Assignment Overview
This assignment provides an introduction to LLMs and their usecases through two separate notebooks. The first notebook provides an introduction to how LLMs work, including how the model understands and generates text. The second notebook investigates how LLMs can be used for planning. Each notebook provides a more in depth description of their content.


## Colab Notebooks

This assignment consists of two separate Google Colab notebooks. Each notebook has a specific setup process that you must follow. Because we are running these notebooks on Google Colab and they are about LLMs, we are allowing you to use the built in AI tools in Colab without any additional citation. If you run into syntax questions, you can ask the built-in Gemini AI tool.

1. [Introduction to LLMs](https://colab.research.google.com/drive/10MdwJXfl6k4PpZEvdNgtbMALmg2VVKoR?usp=sharing)

2. [Planning with LLMs](https://colab.research.google.com/drive/1QhtfFIG6R2dQY7TFEoOeVQC60ufO5enW?usp=sharing)

### Gradescope

Submit your assignment via Gradescope.

We have three required files for this homework. Download each notebook from Colab as a `.ipynb` file. Add your `README.md` file and zip the three files together. Submit the zip file to Gradescope. 

## Rubric

The programming portion of this assignment will be graded for completion.

|      Component      | Points |              Notes               |
|-------------------|------|--------------------------------|
| Intro to LLM Programming | 25 | Graded for Completion |
| Intro to LLM Readme Questions | 25 | |
| LLMs + Planning Programming | 25 | Graded for Completion |
| LLMs + Planning Programming | 25 | |



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