Mickey Beurskens
AI Engineer Tinkerer Shouting At Clouds
Resources
This page provides an overview of my open-source projects, talks and resources that I generally regard as useful.
View this page on GitHubđ ī¸ Open Source
- Guess The Password đī¸: A guessing game used to explore large language model guardrailing concepts.
- My Blog đ: The source code for my blog, written in Hugo.
- Perry Doc Search đĩ: An early large language model based PDF document search prototype.
đĒļ Professional Info
- Forge Fire AI Engineering: Freelance AI application, data and software development.
- Work With Me: If you want to make use of my expertise in your company or team, send me a message on LinkedIn or X.
- Writing: You can find my writing on AI and other topics on my website.
âī¸ Public Speaking
- Team Red - Hacking Large Language Models: At PyData Eindhoven - 2023, 30th of November
- AI Demystified: At the Materials Fair convention - 2022, 30th of April
⥠Resources
Learning resources and books, in no particular order.
Online
- FastAI - Practical Deep Learning: A great course on the basics of artificial intelligence engineering for programmers.
- OpenAI Spinning Up: Comprehensive resource on reinforcement learning.
- Neural Networks And Deep Learning: A bit of personal nostalgia, basics on how neural networks work and how to build them.
- Neural Networks: Zero to Hero: Video series by Andrej Karpathy focussing on foundational, and at the same time practical, understanding of machine learning and large language models.
Books
- The Black Swan: The Impact of the Highly Improbable by Nassim Taleb
- Antifragile: Things That Gain from Disorder by Nassim Taleb
- Skin in the Game: Hidden Asymmetries in Daily Life by Nassim Taleb
- A Man for All Markets (Autobiography) by Edward O. Thorp
- Harry Potter and the Methods of Rationality by Eliezer Yudkowsky
- Poor Charlie’s Almanack. The Essential Wit and Wisdom of Charles T. Munger: by Peter D. Kaufman
- Influence: The Psychology of Persuasion: by Robert Cialdini
- The Almanack Of Naval Ravikant: by Eric Jorgenson