<aside> <img src="/icons/help-alternate_gray.svg" alt="/icons/help-alternate_gray.svg" width="40px" /> Collection of drafts to exploring different ways of looking at and thinking about Large Language Models. Unless otherwise noted, all written by Dominik Lukeš.

A companion to more practical guides on OLD Integrating AI into Academic Practice: Guide to Reflective Exploration

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Thinking drafts

Semantic Machines: A quick introduction to thinking about generative AI [DRAFT]

How does ChatGPT read your text: RAG and Context Window

What does it mean for an AI model to be trained? Five frequently confused uses of “training”

LLMs, Attention and Working Memory

Towards a periodicization of AI history

How do LLMs know the meaning of words: Exploring the limits of purely relational semantics

What do machines need us for? Dexterity, judgment and identity

Guides and frameworks

AI Competence Framework and Task Evaluation Cards

Other resources

Weird Semantics: What are Large Language Models Actually Models Of?

Dominik’s AI Hackathon Ideas

<aside> <img src="/icons/paste_gray.svg" alt="/icons/paste_gray.svg" width="40px" /> All resources on this site are under CC BY.

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