OPEN LINK ↗
// 2h agoTUTORIAL
AI by Hand Makes Transformers Click
Prof. Tom Yeh’s AI by Hand turns complex architectures into pen-and-paper exercises, including step-by-step calculations of self-attention and feed-forward layers in Transformers. The resource gives learners an intuitive view of what happens inside modern language models.
// ANALYSIS
AI by Hand is a refreshing antidote to diagram-driven AI education: developers understand models more deeply when they calculate the machinery themselves.
- –Breaks Transformers into concrete matrix operations instead of abstract jargon
- –Covers attention, feed-forward networks, embeddings, MoE, CLIP, vector databases, and more
- –Helps learners connect high-level LLM behavior to the underlying linear algebra
- –Hand calculations are intentionally simplified, so they build intuition rather than mirror production-scale complexity
- –Workshops and spreadsheet exercises make the material more accessible beyond a university classroom
// TAGS
ai-by-handllmtrainingresearchdata-tools
DISCOVERED
2h ago
2026-08-18
PUBLISHED
2h ago
2026-08-18
RELEVANCE
7/ 10
AUTHOR
techNmak