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Building a Transformer From Scratch
Assemble embeddings, attention, and feed-forward layers into a complete decoder-only transformer (like GPT).
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Self-Attention: The Engine Behind Transformers
Learn how self-attention works — the key mechanism that lets every token in a sequence look at every…
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Embeddings: Turning Words Into Numbers
Understand how tokens become dense vectors that capture meaning, and why one-hot encoding is the wrong approach.
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Tokenization: How LLMs See Text
Learn how LLMs split text into tokens using Byte-Pair Encoding (BPE), the algorithm behind GPT-2, GPT-3, and GPT-4.
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Your First Language Model
Build a working language model from scratch using nothing but Python and a frequency table. No neural networks…
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Encapsulation and Abstraction in C#
Encapsulation and abstraction are two pillars of object-oriented programming (OOP) that play a vital role in writing secure,…
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Polymorphism in C#: Object-Oriented Programming
Polymorphism is a fundamental concept in object-oriented programming (OOP) that allows objects to take on many forms. In…
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Understanding Inheritance in C#
Inheritance is a cornerstone of object-oriented programming (OOP) and one of its most powerful features. It allows you…
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