<aside> <img src="/icons/help-alternate_orange.svg" alt="/icons/help-alternate_orange.svg" width="40px" /> This is a collection of over 1000 slides used by Dominik Lukeš in various presentations on AI since 2019. If you have any questions or suggestions, email [email protected].
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I made a GPT for chatting with slides
ChatGPT - Chat with Dominik's AI Explainer Slides
This is a PDF of all the slides current as of 15 July 2024. Many of the slides contain animations and videos which will not be visible in the PDF. The internal links also do not work but if you download the slides, you can use the Bookmarks to navigate.
Dominik's AI Explainer Slides - Master List - 15 July.pdf
To view animations, you can download the full PowerPoint (250MB) from this Google Drive link. It is too large to embed.
[https://docs.google.com/presentation/d/1BHPR2fCaEOovOno8bCAJW8hkAr_2HJps/edit?usp=sharing&ouid=115960947538376875049&rtpof=true&sd=true](https://docs.google.com/presentation/d/1BHPR2fCaEOovOno8bCAJW8hkAr_2HJps/preview?usp=sharing&ouid=115960947538376875049&rtpof=true&sd=true)
The slides are divided into 12 topic areas with many subsections.
| Topic | Section |
|---|---|
| AI Basics | AI Intro |
| Universal Translator | |
| LLM Semantics | |
| Semantic Machines Why it Matters | |
| 4 Capabilities | |
| 5 Limitations | |
| Nos and Yeses | |
| Hallucination | |
| LLMs are hard to control | |
| Advanced Prompting | |
| Context Window | |
| Multimodal Capabilities | |
| Jagged Frontier | |
| Importance of Prompt Iteration | |
| Jailbreak | |
| History of Prompt Engineering | |
| Predicting AI Futures | |
| AI Generative Process | |
| Word at a Time Analogy | |
| Indeterminacy and Dice Rolling | |
| Tokens | |
| Embeddings | |
| Explaining Attention | |
| How AI is Trained | |
| How LLMs are Trained | |
| How RAG Works | |
| The Choice | |
| The Bot Landscape | |
| AI Tools Landscape | |
| Prompting | Introducing Prompting |
| Context for Prompting | |
| Core Prompting Principles | |
| Prompting Metaphor | |
| 3 Practical Prompting Lessons | |
| Long Prompts | |
| Where and How to Learn about Prompting | |
| How AI Works | AI Expectations vs Reality |
| Explaining the ChatGPT Acronym | |
| How AI is Trained | |
| How LLMs are Trained | |
| How RAG Works | |
| AI Tools | AI Tools Landscape |
| Model Performance and Benchmarks | |
| Model and API Costs | |
| AI Models | AI Models |
| AI App Categories | |
| Pre-ChatGPT AI Hype | |
| Types of AI in History | |
| Prompt Engineering History | |
| AI History | AI History Timelines |
| AI History from 1943 until 2012 | |
| AI History 2012-2022 | |
| AI History Since ChatGPT | |
| AI Usecases | AI for Academic Writing |
| AI to Support Teacher Work | |
| AI for Business Processes | |
| AI Engineering | Ethical Considerations |
| Cognitive Scaffolding | |
| AI for Accessibility | |
| Building with AI | |
| Building GPTs | |
| Building with APIs | |
| AI Building Opportunities / Hackathon Ideas | |
| AI Competence | AI Competence Framework |
| Supporting AI Institutionally | |
| AI Task Cards | |
| Learning about AI | Where to Learn More |
| Approaching Learning about AI | |
| AI Policy | AI in Higher Education |
| AI Policy Metaphors | |
| Misc Slides | AI Generated Slide Background |
| Title Slides from Source Sessions |