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LLM 101

BeginnerFree9 lessons

LLM 101

Understand models, prompts, context, agents, tools, verification, and habits for using AI safely.

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Syllabus

01How language models work

  1. 1.1How does a large language model generate an answer?
  2. 1.2What is a token?
  3. 1.3Why can a model give different answers to the same question?
  4. 1.4How does a model calculate token probabilities?

02Model Training and Capabilities

  1. 2.1How is a model pretrained?
  2. 2.2What does a model's “deep thinking” mean?
  3. 2.3How do models see images and hear sounds?
  4. 2.4Open-source models, parameter counts, and local use
  5. 2.5How do you choose a language model that suits you?