Large Language Models and Generative AI

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  • Page one of the LLM course guide

Explore Large Language Models (LLMs) and Generative AI with a set of illustrated flip book lectures.

You can view the catalogue and access specific lectures here. The course covers the following topics:

  • Lecture 0 - Course Guide            
  • Lecture 1 - What is Language            
  • Lecture 2 - What is a Language Model
  • Lecture 3 - Entropy and Perplexity
  • Lecture 4 - Connectionism
  • Lecture 5 - Vector Encodings
  • Lecture 6 - Recurrent Neural Nets
  • Lecture 7 - Tokenization
  • Lecture 8 - Transformers
  • Lecture 9 - CLIP embeddings
  • Lecture 10 - Diffusion Models
  • Lecture 11 - Masked Language Models
  • Lecture 12 - Alignment I    
  • Lecture 13 - Alignment II    
  • Lecture 14 - Retrieval Augmented Generation
  • Lecture 15 - Prompt Engineering    
  • Lecture 16 - Jailbreaking LLMs
  • Lecture 17 - LLMs and Knowledge Graphs
  • Lecture 18 - LLMs & OWL