Working with Pre-trained NLP Models
Transfer learning is one of the key concepts that leverages companies all over the world in their LLM strategy. This course will teach you how to create LLM powered models through transfer learning.
What you'll learn
Creating an NLP model from scratch is very complex and time consuming. Luckily, you can stand upon the shoulder of giants with Transfer Learning.
In this course, Working with Pre-trained NLP Models, you’ll gain the ability to apply pre-trained LLMs to your models.
First, you’ll explore what transfer learning is.
Next, you’ll discover how to leverage it with Hugging Face.
Finally, you’ll learn how to prevent overfitting and measure fairness.
When you’re finished with this course, you’ll have the skills and knowledge of using pre-trained models in NLP needed to create amazing models with very few code.
Table of contents
About the author
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.