Transformers and LLMs

Master the foundations and practical skills of working with modern language models. This course will teach you how transformers and large language models (LLMs) work, how they evolved, and how to fine-tune and evaluate them for real-world AI tasks.
What you'll learn

Understanding how modern AI systems process and generate language can be overwhelming, especially with the rapid evolution from traditional models like RNNs to advanced transformers and LLMs. In this course, Transformers and LLMs, you’ll learn to train, fine-tune, and apply transformer-based models for real-world tasks. First, you’ll explore the evolution of natural language processing, the architecture of transformers, and how LLMs are trained. Next, you’ll discover how to work with popular libraries like Hugging Face to load, use, and fine-tune models such as GPT, BERT, and T5 for specific tasks. Finally, you’ll learn how to evaluate LLMs using key metrics, and address practical concerns like efficiency, accuracy, and ethics. When you’re finished with this course, you’ll have the skills and knowledge of transformers and large language models needed to confidently build and optimize AI solutions for various NLP applications.

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