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Understanding Large Language Models

Transformer LLMs: The Basics

This comprehensive course takes you on a journey from the fundamental concepts to advanced understanding of Large Language Models (LLMs).

  • 3 sections
  • 10 lessons
  • Free
  • Prince KrampahBy Prince Krampah
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Transformer LLMs: The Basics

Transformer LLMs: The Basics course cover by Code With Prince
Understanding Large Language Models

Transformer LLMs: The Basics

Prince Krampah Prince Krampah
Overview
Curriculum
  • 3 Sections
  • 10 Lessons
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Understanding Transformers In LLMs
4 Lessons
  1. Introduction To Transformers
  2. Components Of A Transformer LLM Overview
  3. Optimization Strategies Used In Transformer LLMs
  4. Anatomy Of The Transformer Blocks
Understanding The Attention Mechanism
3 Lessons
  1. Introduction To Self Attention
  2. Understanding How Self Attention Works
  3. Self Attention In Generative Transformers
Attention Head Architecture Categories
3 Lessons
  1. Attention Scope Categories vs Attention Head Architecture Categories
  2. Understanding Multi-Head Attention
  3. Multi-query Attention (MQA) and Grouped-query Attention (GQA)

This comprehensive course takes you on a journey from the fundamental concepts to advanced understanding of Large Language Models (LLMs). No prior knowledge is required: you'll explore how tokenizers, embeddings, Transformer blocks and the attention mechanism (including multi-head, multi-query and grouped-query attention) work together to power modern AI systems like GPT, Claude, and LLaMA.

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