- 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
Describe what you've done in this PR:
- What concepts did you learn?
- What changes or additions did you make?
- Any challenges you faced?
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
- 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
Add any questions you have or points you'd like to discuss: 1. 2.
Any other information that might be helpful for reviewers: