LLM Basics Theory

2 tutorials

In this module, learn all about how LLMs like Gemini and GPT-4 process and generate language. We will delve into the building blocks of LLMs such as tokens, embeddings, neural networks and learning.

By the end of this module, you will gain a solid foundation in the core concepts that make LLMs tick. This knowledge will prepare you to effectively interact with LLMs and unlock their potential for various applications.

Learning Outcomes

By the end of this module, you will be able to

  • Describe how LLMs work
  • Explain how text is broken down into tokens
  • Explain how embeddings increase understanding for LLMs
Oops, you are not logged in!

Please log in to view this page, and provide additional information required (if any) to unlock the full experience on Learn.