Introduction to Transformer Models for NLP: Unit 3

About this course

This course covers transformer models and their applications in natural language processing and computer vision. Topics include the T5 model, fine-tuning for tasks such as abstractive summarization, and the Vision Transformer. Students will learn to build an image captioning system by combining vision and language models. The course also provides practical instruction on deploying models, including MLOps practices, sharing models on HuggingFace, and cloud deployment with FastAPI. By the end of the course, students will have the knowledge and skills to implement, fine-tune, and deploy transformer models for various real-world tasks.

What you will learn

• Understand and apply the T5 model’s end-to-end transformer architecture for advanced NLP tasks.
• Fine-tune and evaluate transformer models for complex applications like abstractive summarization.
• Leverage Vision Transformers and build custom image captioning systems by combining vision and language models.
• Deploy, share, and operationalize transformer models using modern MLOps tools and cloud frameworks.