Published on: 2024-12-04 23:55:18
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Mathematics Behind Large Language Models and Transformers is a course on the fundamental mathematics that underpin advanced AI systems such as GPT and BERT, published by Udemy Online Academy. The course explores linear algebra, calculus, probability, and optimization techniques that underpin transformer models, including attention mechanisms, token embedding, and gradient descent optimization. The course explores the complex mathematical algorithms that allow these complex models to process, understand, and produce human-like text. Starting with tokenization, students will learn how raw text is transformed into a format that can be understood by the models through techniques such as the WordPiece algorithm.
By the end of this course, individuals will not only have mastered the theoretical foundations of transformers, but also gain practical insight into their operation and application. This course will prepare you for innovation and excellence in machine learning, placing you among the top engineers and researchers in artificial intelligence. This course is recommended for ambitious learners aiming to reach the top ranks of the programming world and those who want to gain a deep understanding of transformers, the advanced technology behind large language models.
Publisher: Udemy
Instructors: Patrik Szepesi
Language: English
Level: Introductory
Number of Lessons: 29
Duration: 4 hours and 42 minutes
Basic HS math(linear algebra)
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
1.1 GB
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