Master Any Text.
Stay in Flow.
ILLUCIO provides professor-level reading guidance for any subject, any text.
Introducing Ground Up Note
From First Principles to Full Mastery
Built From First Principles
Constructed from the most fundamental concepts. No prior knowledge required.
Ideas vs. Impressions
The Copy Principle — all ideas originate from sensory impressions
The Association of Ideas
How thoughts naturally connect through resemblance, contiguity, and cause
Progressive Complexity
Carefully designed progressive difficulty. Deepens alongside your understanding.
Relations of Ideas & Matters of Fact
All knowledge divides into two types:
math, logic — certain but trivial
experience — useful but uncertain
Professor-Level Quality
Clear enough that every detail makes sense.
The Nature of Belief
"Why do we expect the sun to rise tomorrow?"
Not reason, but habit. Repeated experience creates expectation—this is the foundation of all empirical knowledge.
Gallery
A Curated Collection of Exceptional Texts
Philosophy
An Enquiry Concerning Human Understanding — David Hume. Hume's investigation into the nature and limits of human knowledge. ILLUCIO breaks down his empiricist philosophy, from the distinction between impressions and ideas to his famous problem of induction.
An Enquiry Concerning Human Understanding
David Hume
Classic Philosophy
Original Text (annotated version)
Attention Is All You Need
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best performing models also connect the encoder and decoder through an attention mechanism.
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train.
Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU.
Why "Transformer"?
This paper introduced the architecture that powers modern LLMs (like GPT). It "transforms" input sequences to output sequences using parallel processing rather than sequential.
BLEU Score
Bilingual Evaluation Understudy. A metric for evaluating a generated sentence to a reference sentence. A score of 28.4 was state-of-the-art in 2017.
Trusted by students at world-leading universities
What Students Say
Real experiences from students across disciplines