course
Transformer Models with PyTorch
Advanced
Updated 02/2025Start Course for Free
Included withPremium or Teams
PyTorchArtificial Intelligence2 hours7 videos23 exercises1,900 XPStatement of Accomplishment
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?
Try DataCamp for BusinessLoved by learners at thousands of companies
Course Description
Deep-Dive into the Transformer Architecture
Transformer models have revolutionized text modeling, kickstarting the generative AI boom by enabling today's large language models (LLMs). In this course, you'll look at the key components in this architecture, including positional encoding, attention mechanisms, and feed-forward sublayers. You'll code these components in a modular way to build your own transformer step-by-step.Implement Attention Mechanisms with PyTorch
The attention mechanism is a key development that helped formalize the transformer architecture. Self-attention allows transformers to better identify relationships between tokens, which improves the quality of generated text. Learn how to create a multi-head attention mechanism class that will form a key building block in your transformer models.Build Your Own Transformer Models
Learn to build encoder-only, decoder-only, and encoder-decoder transformer models. Learn how to choose and code these different transformer architectures for different language tasks, including text classification and sentiment analysis, text generation and completion, and sequence-to-sequence translation.Prerequisites
Deep Learning for Text with PyTorch1
The Building Blocks of Transformer Models
2
Building Transformer Architectures
Transformer Models with PyTorch
Course Complete
Earn Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CVShare it on social media and in your performance review
Included withPremium or Teams
Enroll nowFAQs
Join over 16 million learners and start Transformer Models with PyTorch today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.