Ordinary Intelligence Co.
Subscribe
Sign in
Home
About
How to build an AI 'slop' detector
Math (and code) behind the slop
Jul 22
•
Chenuli Jayasinghe
Stereotypical LLMs
It is, sadly, not all about training data
Jul 8
•
Chenuli Jayasinghe
Does teaching a LLM to say "No" help with hallucinations?
Enter R-tuning
Jun 24
•
Chenuli Jayasinghe
What actually goes into an LLM
Data pipeline behind AI, from scraping the raw internet to optimization of fine-tuning data.
Jun 10
•
Chenuli Jayasinghe
Machine Unlearning, Explained
A complete guide to the opposite of Machine Learning + notebook to "unlearning" a LLM
May 20
•
Chenuli Jayasinghe
AI Slopification
Why all AI writing sounds the same and how the Internet is slopified by it
May 6
•
Chenuli Jayasinghe
A complete guide to supervised fine-tuning
LoRA, Llama, and a 1944 Sabotage Manual
Apr 22
•
Chenuli Jayasinghe
How to build a LLM from scratch
A tutorial from A-to-Z of building a large language model from Mary Shelley's book "Frankenstein"
Apr 8
•
Chenuli Jayasinghe
1
"Personalities" in LLMs
ChatGPT the try-hard and other observations
Mar 25
•
Chenuli Jayasinghe
Why you can't fix jailbreaks
At least not entirely— or you will be left with useless AI models
Mar 11
•
Chenuli Jayasinghe
Ordinary Intelligence Co.
intelligence, ordinary and otherwise
Subscribe
Recommendations
Marcus on AI
Gary Marcus
Doublethink
Lewis O’Brien
Ordinary Intelligence Co.
Subscribe
About
Archive
Recommendations
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts