Description
The Math of Large Language Models: Transformer Architectures is a course on the mathematical foundations behind modern large language models (LLMs) and transformer-based neural networks published by Udemy Online Academy. This course provides a rigorous yet practical exploration of the mathematical foundations behind modern large language models (LLMs) and transformer-based neural networks. Designed for AI engineers, machine learning specialists, data scientists, and students, this course explains the core mathematical concepts that enable transformer models to understand and produce human language.
Students will study linear algebra, probability, calculus, vector embeddings, attention mechanisms, positional encoding, normalization, optimization, and gradient-based learning, while learning how these concepts are applied to transformer architectures. By the end of this course, you will have a clear mathematical understanding of the core ideas that underpin today’s large language models, enabling you to confidently understand, analyze, and discuss transformer architectures without relying on programming frameworks or specific implementation details.
What you will learn in The Math of Large Language Models: Transformer Architectures:
- Master the core principles of self-attention mechanics.
- Analyze the architecture and trade-offs of multi-query attention (MQA).
- Analyze the design patterns that govern KV Caching.
- Build a deep mental model of large-scale positional encodings (RoPE).
- And…
Course specifications
Publisher: Udemy
Instructors: Bhushan S
Language: English
Level: Intermediate
Number of Lessons: 48
Duration: 3 hours and 23 minutes
Course topics
The Math of Large Language Models: Transformer Architectures Prerequisites
No coding experience is required. We focus entirely on system design and core theoretical concepts.
A basic interest in technology systems, algorithms, or computer science architecture.
No special software or local development environment setup is needed.
Pictures
The Math of Large Language Models: Transformer Architectures introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rliapidgator nk
File password (s): www.downloadly.ir
Size
2.4 GB
