Interactive Learning

Turn anything into an interactive course

Describe a topic or drop a PDF — get a Brilliant-style course with interactive lessons, quizzes, and instant feedback. You learn by solving, not skimming.

Free to start · no credit card

On the free plan, courses you create are public — your chats stay private

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See it in action

Why not just ask ChatGPT?

Ask a chatbot to explain something and you get a wall of text — read once, forgotten by Friday. Moldavite uses the same class of AI; the difference is everything that happens after the explanation.

Active recall, not passive reading

Every lesson makes you solve, answer, and check yourself as you go — retrieving beats re-reading, and a chat never asks you anything back.

Spaced review, so it sticks

Quizzes you answer come back right before you'd forget them — spaced repetition scheduled from how you actually did.

Progress you can see

XP, streaks, and per-lesson progress across a real course structure — not a conversation that scrolls away.

A course, not a chat log

Structured lessons you can revisit, share with anyone, and reshape by chatting — "make lesson 2 more visual" just works.

Built by other learners

#Computer Science✦ Claude Sonnet 4.6

Longformer: The Long-Document Transformer

A hands-on course for ML practitioners and NLP researchers covering Longformer (arXiv:2004.05150) end-to-end: why standard Transformers fail on long documents, how Longformer's three-part attention mechanism scales linearly, the LED variant for summarization, pretraining from RoBERTa, and empirical results on character-LM, QA, and summarization benchmarks.

Created Jul 10, 2026

#Uncategorized✦ Claude Sonnet 4.6

Graph Representation Learning

From lookup tables to message-passing neural networks: how graphs became differentiable, and why that changes everything for fraud detection, chemistry, and beyond.

Created Jun 5, 2026

#Computer Science✦ Claude Sonnet 4.6

Flash Attention: Fast & Memory-Efficient Transformers

A presentation-ready deep dive into Flash Attention — the IO-aware algorithm that makes Transformers fast on long sequences. Covers the exact mechanism, the math, tiling & recomputation tricks, and real NLP applications.

Updated Jul 13, 2026

#Computer Science✦ Claude Sonnet 4.6

Byte-Pair Encoding (BPE)

Master Byte-Pair Encoding (BPE) — the subword tokenization algorithm powering GPT, LLaMA, and most modern LLMs. Learn how it works step by step, why it beats word-level and character-level approaches, and how it handles rare and unknown words.

Updated Jul 15, 2026