Mathematics Behind Large Language Models and Transformers
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Mathematics Behind Large Language Models and Transformers
Original price was: $79.99.$15.00Current price is: $15.00.
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Mathematics Behind Large Language Models and Transformers
★★★★★
$79.99
in stock
Udemy.com
as of January 23, 2026 1:57 pm
Deep Dive into Transformer Mathematics: From Tokenization to Multi-Head Attention to Masked Language Modeling & Beyond
Created by:
Patrik Szepesi
Machine Learning Engineer
Machine Learning Engineer
Rating:4.39 (387reviews)
2085students enrolled
What Will I Learn?
- Mathematics Behind Large Language Models
- Positional Encodings
- Multi Head Attention
- Query, Value and Key Matrix
- Attention Masks
- Masked Language Modeling
- Dot Products and Vector Alignments
- Nature of Sine and Cosine functions in Positional Encodings
- How models like ChatGPT work under the hood
- Bidirectional Models
- Context aware word representations
- Word Embeddings
- How dot products work
- Matrix multiplication
- Programatically Create tokens
Requirements
- Basic HS math(linear algebra)
Target audience
- For ambitious learners aiming to reach the upper echelon of the programming world: This content is designed for those who aspire to be within the top 1% of data scientists and machine learning engineers. It is particularly geared towards individuals who are keen to gain a deep understanding of transformers, the advanced technology behind large language models. This course will equip you with the foundational knowledge and technical skills required to excel in the development and implementation of cutting-edge AI applications
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