Mastering Transformers.
The Journey from BERT to Large Language Models and Stable Diffusion
MACreated by Savaş Yıldırım, Meysam Asgari-Chenaghlu
Explore the world of transformer-based models and discover how they have revolutionized natural language processing and computer vision. Learn to implement advanced multimodal solutions, including text-to-image generation, and gain practical skills for building real-world AI applications.
Packt | Jun 2024 | 462 min
What You Will Learn
You will start by exploring different transformer architectures and their core principles. Through hands-on projects, you will train and fine-tune models for various tasks, including language understanding and image generation. Practical exercises will guide you in optimizing performance and applying transformers to real-world problems.
Key Features
- Build and fine-tune transformer models for NLP and computer vision tasks
- Apply transformers to generative AI, including text-to-image and language generation
- Boost model performance and track training progress using practical tools
Target Audience
Designed for machine learning practitioners, researchers, and advanced students with a solid background in programming and AI. If you want to deepen your expertise in NLP, computer vision, or multimodal applications using transformers, and are comfortable with Python and machine learning basics, this course is a great fit.
