LLM Course documentation
Exam Time!
0. Setup
1. Transformer models
2. Using 🤗 Transformers
3. Fine-tuning a pretrained model
4. Sharing models and tokenizers
5. The 🤗 Datasets library
6. The 🤗 Tokenizers library
7. Classical NLP tasks
8. How to ask for help
9. Building and sharing demos
10. Curate high-quality datasets
11. Fine-tune Large Language Models
IntroductionChat TemplatesFine-Tuning with SFTTrainerLoRA (Low-Rank Adaptation)EvaluationConclusionExam Time!
12. Build Reasoning Models new
Course Events
Exam Time!
It’s time to put your knowledge to the test! We’ve prepared a short quiz for you to test your understanding of the concepts covered in this chapter.
To take the quiz, you will need to follow these steps:
- Sign in to your Hugging Face account.
- Answer the questions in the quiz.
- Submit your answers.
Multiple Choice Quiz
In this quiz, you will be asked to select the correct answer from a list of options. We’ll test you on the fundamentals of supervised finetuning.
Code Quiz
In this quiz, you will be asked to write code to complete a task. We’ll test you on the code you’ve studied in the course from libraries like datasets, transformers, peft, and TRL.