Opening article
Hugging Face is revamping its long‑running NLP course, adding new chapters on fine‑tuning large language models and reasoning models, and rebranding the material as the LLM Course. The update will keep classic NLP topics while expanding coverage of state‑of‑the‑art research and tools such as transformers, Spaces, and the Hugging Face Hub. The platform invites community participation to shape interactive units and live sessions.
Education has always been at the heart of Hugging Face’s mission to democratize AI and we’re doubling down on that by giving hf.co/learn a big upgrade! Our NLP course has been a go-to resource for the open-source AI community for the past 3 years, and it’s now time for a refresh. We’re updating and expanding it to keep up with all the exciting stuff happening in AI (which is not easy when there are breakthroughs every week!)
We felt the excitement during the experimental smol-course and the massive agents course , where 100k students registered to learn about AI agents in a new, fun, and interactive way!
Over the last few months we’ve expanded the "NLP" course with new chapters, including fine-tuning LLMs and building reasoning models like Deepseek R1. These newer chapters don’t fit under the banner of ‘NLP’ so we’ve searched for a more relevant and modern title and landed on The LLM course.
We will maintain the existing material that focuses on classic NLP tasks like classification, named entity-recognition and retrieval. These topics are important because:
In fact, over the coming months we will update and modernise these classic chapters to include approaches like Sentence Transformers , updates in Zero Shot classification, and ModernBert .
Yes. We are focusing on adding new chapters that focus on making state-of-the-art research accessible to a broader audience and compatible with tools like transformers, Spaces, and the Hugging Face Hub. For example, we’ll add chapters on fine-tuning, inference, and retrieval.
By expanding and updating its educational resources, Hugging Face supports broader adoption of LLMs and keeps the open‑source AI community aligned with rapid industry advances.