| Class Dates and Times | ||
| 05/28/2025 | Wednesday | 10:00-4:45 EDT |
| 9:00-3:45 CDT | ||
| 8:00-2:45 MDT | ||
| 7:00-1:45 PDT | ||
| 05/29/2025 | Thursday | 10:00-4:45 EDT |
| 9:00-3:45 CDT | ||
| 8:00-2:45 MDT | ||
| 7:00-1:45 PDT | ||
| 05/30/2025 | Friday | 10:00-4:45 EDT |
| 9:00-3:45 CDT | ||
| 8:00-2:45 MDT | ||
| 7:00-1:45 PDT | ||
Early Notice Class
Early Notice classes have enrollments that suggest that the class will run as scheduled.
Follow the link to our self-service price quote form to generate an email with a price quote.
We can deliver this class for your group. Follow the link to request more information.
Receive an email when this class is available as "Ready to Run" or "Early Notice" status.
If you have high-speed internet and a computer you can likely take this class from your home or office.
In this 3-day developer class on working with Large Language Models, we will show you how to use Transformers in Natural Language Processing and leverage the capabilities available on Huggingface.
You'll learn how transformer models work and their limitations, as well as how to fine-tune a pre-trained model using the Trainer API or Keras. We'll cover sharing models and tokenizers on the Hugging Face Hub and how to create your own dataset and perform a semantic search with FAISS using the Datasets library.
Join us for an interactive 3-day journey into the world of Large Language Models with Huggingface, and take your Natural Language Processing projects to the next level.
To take this 3-day course, you should have taken our AI Workbench class or have basic knowledge of programming concepts and syntax in a language such as Python or JavaScript. General familiarity with APIs is also recommended.
View outline in Word
Attend hands-on, instructor-led Large Language Models (Using Huggingface) training classes at ONLC's nationwide locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.
For additional training options, check out our list of ML & AI Courses and select the one that's right for you.
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