Enroll Course: https://www.udemy.com/course/learning_transformer/
The course ‘Transformerを詳しく学ぼう！ -PyTorchで実装するAttention、Transformer-‘ offers an in-depth exploration of one of the most pivotal technologies in AI today: the Transformer. Designed for those interested in understanding how large language models like GPT-3.5 and GPT-4 operate, this course provides a thorough breakdown of the underlying mechanics driving modern AI advancements.
What sets this course apart is its practical approach. Utilizing PyTorch, a popular deep learning framework, students get hands-on experience implementing Transformers from scratch. The curriculum is structured into clear sections, starting with an overview of Transformer architecture, followed by a detailed look at the Attention mechanism, embedding techniques, and culminating in building a Transformer model step-by-step.
The instructor does an excellent job of making complex concepts accessible, even for learners with minimal Python background, thanks to pre-provided notebooks and the use of Google Colaboratory for coding. The course also benefits from prior content on YouTube, ensuring continuity and deeper understanding.
I highly recommend this course to anyone keen on diving into AI, NLP, or machine learning. Whether you’re a student, developer, or researcher, you’ll find valuable insights and practical skills that will enhance your understanding of how large language models work and how to implement them. Completing this course will empower you with the knowledge to contribute to the rapidly evolving field of AI and perhaps even innovate new solutions.
Enroll Course: https://www.udemy.com/course/learning_transformer/