LLM Course documentation

Exam Time!

LLM Course

0. Setup

1. Transformer models

Introduction Natural Language Processing and Large Language Models Transformers, what can they do? How do Transformers work? Solving Tasks with Transformers Transformer Architectures Quick quiz Inference with LLMs Bias and limitations Summary Certification exam

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

12. Build Reasoning Models new

Course Events

Join the Hugging Face community

and get access to the augmented documentation experience

Collaborate on models, datasets and Spaces

Faster examples with accelerated inference

Switch between documentation themes

to get started

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.

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