[STUDENT NOTEBOOKS] docs: student notebooks/module-one-completed

[GangGreenTemperTatum]

December 2024 Student Submission

Module Completed

• Module 1: Instruction Tuning
• Module 2: Preference Alignment
• Module 3: Parameter-efficient Fine-tuning
• Module 4: Evaluation
• Module 5: Vision-language Models
• Module 6: Synthetic Datasets
• Module 7: Inference
• Module 8: Deployment

Changes Made

Describe what you've done in this PR:

1. What concepts did you learn?
2. What changes or additions did you make?
3. Any challenges you faced?

Notebooks Added/Modified

List any notebooks you've added or modified:

• Added new example in module_name/student_examples/my_example.ipynb
• Modified existing notebook with additional examples
• Added documentation or comments

Checklist

• I have read the module materials
• My code runs without errors
• I have pushed models and datasets to the huggingface hub
• My PR is based on the december-2024 branch

Questions or Discussion Points

Add any questions you have or points you'd like to discuss:
NA

Additional Notes

super appreciate the course and awesome content, thank you!! 😁
i'm pretty sure i trained on an incorrect instruction tuning dataset/overfit the model on the math side here but feel i've come away with the core concepts i wanted to gain from this experience :)

also made small addition to the .gitignore, hope that's cool and noticed chapter 8 for agents was intro'd later than december branch and looking forward to that!