💡Gain a deep understanding of how large language models work and how they can be used in various applications.
✅No previous experience with calculus or linear algebra is required to follow along with this course.
👶The course starts with basic concepts and gradually progresses to more advanced topics.
🔑The course is inspired by Andre Karpathy's lecture on building a GPT from scratch.
⏰The course emphasizes the importance of constant effort and willingness to learn.
Do I need previous experience in coding or machine learning to take this course?
—No previous coding or machine learning experience is required. The course starts from the basics and builds up gradually.
Is this course suitable for beginners?
—Yes, this course is designed for beginners. It starts with fundamental concepts and gradually progresses to more advanced topics.
What programming language is used in this course?
—This course primarily uses Python for coding examples and implementations.
Will I learn how to build my own language model from scratch?
—Yes, this course will teach you how to build your own language model from scratch, covering the necessary data handling, math, and transformer concepts.
Is this course suitable for individuals without a background in calculus or linear algebra?
—Yes, this course does not assume any prior knowledge of calculus or linear algebra. It starts from the basics and gradually introduces the necessary concepts.
00:00Learn how to build your own large language model from scratch.
00:22The course starts with basic concepts and gradually progresses to more advanced topics.
01:00No previous coding or machine learning experience is required.
02:50The course emphasizes the importance of constant effort and willingness to learn.
03:50This course primarily uses Python for coding examples and implementations.
