What’s the best way to learn the math/theory behind LLMs?

Learning the math behind LLMs is like leveling up in a video game - challenging but rewarding! Check out advanced online courses from platforms like Coursera or Khan Academy for a deep dive beyond the basics. Who knew math could be this intriguing, right?

To learn the math and theory behind large language models (LLMs), it's essential to start with a solid understanding of linear algebra, calculus, probability, and statistics, as these form the backbone of most machine learning algorithms. Begin by studying neural networks and deep learning, focusing on backpropagation and optimization techniques. Resources like online courses, textbooks, and research papers are great for building foundational knowledge. Additionally, applying these concepts through projects or coding exercises will deepen your understanding. For those looking to reinforce math skills, one might want to practise maths with hit the button a tool that can help build speed and accuracy in basic operations—important skills when tackling complex mathematical theories.